A Technique to Improve Copolar Correlation Coefficient Estimation
Copolar correlation coefficient is one of the essential polarimetric variables because it enhances the ability of weather radars to discriminate among different hydrometeor types as well as nonmeteorological scatterers. Theoretical values of the copolar correlation coefficient <inline-formula>...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Ivic, Igor R [verfasserIn] |
|---|
| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2016 |
|---|
| Schlagwörter: |
|---|
| Übergeordnetes Werk: |
Enthalten in: IEEE transactions on geoscience and remote sensing - New York, NY : IEEE, 1964, 54(2016), 10, Seite 5776-5800 |
|---|---|
| Übergeordnetes Werk: |
volume:54 ; year:2016 ; number:10 ; pages:5776-5800 |
| Links: |
|---|
| DOI / URN: |
10.1109/TGRS.2016.2572185 |
|---|
| Katalog-ID: |
OLC1981766766 |
|---|
| LEADER | 01000caa a2200265 4500 | ||
|---|---|---|---|
| 001 | OLC1981766766 | ||
| 003 | DE-627 | ||
| 005 | 20230714213143.0 | ||
| 007 | tu | ||
| 008 | 161013s2016 xx ||||| 00| ||eng c | ||
| 024 | 7 | |a 10.1109/TGRS.2016.2572185 |2 doi | |
| 028 | 5 | 2 | |a PQ20161012 |
| 035 | |a (DE-627)OLC1981766766 | ||
| 035 | |a (DE-599)GBVOLC1981766766 | ||
| 035 | |a (PRQ)c1530-d1a569f2e662c593996b0dc833d4fe0aa50b1f3c6db13233daaad0b3f8d62b790 | ||
| 035 | |a (KEY)0048677920160000054001005776techniquetoimprovecopolarcorrelationcoefficientest | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 620 |a 550 |q DNB |
| 100 | 1 | |a Ivic, Igor R |e verfasserin |4 aut | |
| 245 | 1 | 2 | |a A Technique to Improve Copolar Correlation Coefficient Estimation |
| 264 | 1 | |c 2016 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ohne Hilfsmittel zu benutzen |b n |2 rdamedia | ||
| 338 | |a Band |b nc |2 rdacarrier | ||
| 520 | |a Copolar correlation coefficient is one of the essential polarimetric variables because it enhances the ability of weather radars to discriminate among different hydrometeor types as well as nonmeteorological scatterers. Theoretical values of the copolar correlation coefficient <inline-formula> <tex-math notation="LaTeX">(|\rho_\mathrm{hv}(0)|)</tex-math></inline-formula> are between zero and one, but due to statistical errors, estimates of <inline-formula> <tex-math notation="LaTeX">|\rho_\mathrm{hv}(0)|</tex-math></inline-formula> can take values that are outside this interval, in which case the estimates are deemed unusable. Additionally, even if a <inline-formula> <tex-math notation="LaTeX">|\rho_\mathrm{hv}(0)|</tex-math></inline-formula> estimate is valid, it can introduce errors in echo classification if not sufficiently accurate. Therefore, it is imperative to keep the number of invalid estimates at a minimum while maintaining the acceptable accuracy and precision of measurements. Herein, a technique to improve copolar correlation coefficient estimation is presented. The technique produces estimates with reduced bias which results in an increased number of valid estimates as well as improved accuracy of <inline-formula> <tex-math notation="LaTeX">|\rho_\mathrm{hv}(0)|</tex-math></inline-formula> fields. This is achieved through a combination of previously proposed <inline-formula> <tex-math notation="LaTeX">|\rho_\mathrm{hv}(0)|</tex-math></inline-formula> estimators with several novel estimators presented in this paper. | ||
| 650 | 4 | |a Radar polarimetry | |
| 650 | 4 | |a Doppler radar | |
| 650 | 4 | |a weather radar | |
| 650 | 4 | |a Signal to noise ratio | |
| 650 | 4 | |a Meteorological radar | |
| 650 | 4 | |a Estimation | |
| 650 | 4 | |a Meteorology | |
| 650 | 4 | |a Correlation | |
| 650 | 4 | |a radar signal processing | |
| 773 | 0 | 8 | |i Enthalten in |t IEEE transactions on geoscience and remote sensing |d New York, NY : IEEE, 1964 |g 54(2016), 10, Seite 5776-5800 |w (DE-627)129601667 |w (DE-600)241439-9 |w (DE-576)015095282 |x 0196-2892 |7 nnns |
| 773 | 1 | 8 | |g volume:54 |g year:2016 |g number:10 |g pages:5776-5800 |
| 856 | 4 | 1 | |u http://dx.doi.org/10.1109/TGRS.2016.2572185 |3 Volltext |
| 856 | 4 | 2 | |u http://ieeexplore.ieee.org/document/7505914 |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a SYSFLAG_A | ||
| 912 | |a GBV_OLC | ||
| 912 | |a SSG-OLC-ARC | ||
| 912 | |a SSG-OLC-TEC | ||
| 912 | |a SSG-OLC-GEO | ||
| 912 | |a SSG-OLC-FOR | ||
| 912 | |a SSG-OPC-GGO | ||
| 912 | |a SSG-OPC-GEO | ||
| 912 | |a GBV_ILN_70 | ||
| 951 | |a AR | ||
| 952 | |d 54 |j 2016 |e 10 |h 5776-5800 | ||
| author_variant |
i r i ir iri |
|---|---|
| matchkey_str |
article:01962892:2016----::tcnqeomrvcplrorltocef |
| hierarchy_sort_str |
2016 |
| publishDate |
2016 |
| allfields |
10.1109/TGRS.2016.2572185 doi PQ20161012 (DE-627)OLC1981766766 (DE-599)GBVOLC1981766766 (PRQ)c1530-d1a569f2e662c593996b0dc833d4fe0aa50b1f3c6db13233daaad0b3f8d62b790 (KEY)0048677920160000054001005776techniquetoimprovecopolarcorrelationcoefficientest DE-627 ger DE-627 rakwb eng 620 550 DNB Ivic, Igor R verfasserin aut A Technique to Improve Copolar Correlation Coefficient Estimation 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Copolar correlation coefficient is one of the essential polarimetric variables because it enhances the ability of weather radars to discriminate among different hydrometeor types as well as nonmeteorological scatterers. Theoretical values of the copolar correlation coefficient <inline-formula> <tex-math notation="LaTeX">(|\rho_\mathrm{hv}(0)|)</tex-math></inline-formula> are between zero and one, but due to statistical errors, estimates of <inline-formula> <tex-math notation="LaTeX">|\rho_\mathrm{hv}(0)|</tex-math></inline-formula> can take values that are outside this interval, in which case the estimates are deemed unusable. Additionally, even if a <inline-formula> <tex-math notation="LaTeX">|\rho_\mathrm{hv}(0)|</tex-math></inline-formula> estimate is valid, it can introduce errors in echo classification if not sufficiently accurate. Therefore, it is imperative to keep the number of invalid estimates at a minimum while maintaining the acceptable accuracy and precision of measurements. Herein, a technique to improve copolar correlation coefficient estimation is presented. The technique produces estimates with reduced bias which results in an increased number of valid estimates as well as improved accuracy of <inline-formula> <tex-math notation="LaTeX">|\rho_\mathrm{hv}(0)|</tex-math></inline-formula> fields. This is achieved through a combination of previously proposed <inline-formula> <tex-math notation="LaTeX">|\rho_\mathrm{hv}(0)|</tex-math></inline-formula> estimators with several novel estimators presented in this paper. Radar polarimetry Doppler radar weather radar Signal to noise ratio Meteorological radar Estimation Meteorology Correlation radar signal processing Enthalten in IEEE transactions on geoscience and remote sensing New York, NY : IEEE, 1964 54(2016), 10, Seite 5776-5800 (DE-627)129601667 (DE-600)241439-9 (DE-576)015095282 0196-2892 nnns volume:54 year:2016 number:10 pages:5776-5800 http://dx.doi.org/10.1109/TGRS.2016.2572185 Volltext http://ieeexplore.ieee.org/document/7505914 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-GEO SSG-OLC-FOR SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_70 AR 54 2016 10 5776-5800 |
| spelling |
10.1109/TGRS.2016.2572185 doi PQ20161012 (DE-627)OLC1981766766 (DE-599)GBVOLC1981766766 (PRQ)c1530-d1a569f2e662c593996b0dc833d4fe0aa50b1f3c6db13233daaad0b3f8d62b790 (KEY)0048677920160000054001005776techniquetoimprovecopolarcorrelationcoefficientest DE-627 ger DE-627 rakwb eng 620 550 DNB Ivic, Igor R verfasserin aut A Technique to Improve Copolar Correlation Coefficient Estimation 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Copolar correlation coefficient is one of the essential polarimetric variables because it enhances the ability of weather radars to discriminate among different hydrometeor types as well as nonmeteorological scatterers. Theoretical values of the copolar correlation coefficient <inline-formula> <tex-math notation="LaTeX">(|\rho_\mathrm{hv}(0)|)</tex-math></inline-formula> are between zero and one, but due to statistical errors, estimates of <inline-formula> <tex-math notation="LaTeX">|\rho_\mathrm{hv}(0)|</tex-math></inline-formula> can take values that are outside this interval, in which case the estimates are deemed unusable. Additionally, even if a <inline-formula> <tex-math notation="LaTeX">|\rho_\mathrm{hv}(0)|</tex-math></inline-formula> estimate is valid, it can introduce errors in echo classification if not sufficiently accurate. Therefore, it is imperative to keep the number of invalid estimates at a minimum while maintaining the acceptable accuracy and precision of measurements. Herein, a technique to improve copolar correlation coefficient estimation is presented. The technique produces estimates with reduced bias which results in an increased number of valid estimates as well as improved accuracy of <inline-formula> <tex-math notation="LaTeX">|\rho_\mathrm{hv}(0)|</tex-math></inline-formula> fields. This is achieved through a combination of previously proposed <inline-formula> <tex-math notation="LaTeX">|\rho_\mathrm{hv}(0)|</tex-math></inline-formula> estimators with several novel estimators presented in this paper. Radar polarimetry Doppler radar weather radar Signal to noise ratio Meteorological radar Estimation Meteorology Correlation radar signal processing Enthalten in IEEE transactions on geoscience and remote sensing New York, NY : IEEE, 1964 54(2016), 10, Seite 5776-5800 (DE-627)129601667 (DE-600)241439-9 (DE-576)015095282 0196-2892 nnns volume:54 year:2016 number:10 pages:5776-5800 http://dx.doi.org/10.1109/TGRS.2016.2572185 Volltext http://ieeexplore.ieee.org/document/7505914 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-GEO SSG-OLC-FOR SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_70 AR 54 2016 10 5776-5800 |
| allfields_unstemmed |
10.1109/TGRS.2016.2572185 doi PQ20161012 (DE-627)OLC1981766766 (DE-599)GBVOLC1981766766 (PRQ)c1530-d1a569f2e662c593996b0dc833d4fe0aa50b1f3c6db13233daaad0b3f8d62b790 (KEY)0048677920160000054001005776techniquetoimprovecopolarcorrelationcoefficientest DE-627 ger DE-627 rakwb eng 620 550 DNB Ivic, Igor R verfasserin aut A Technique to Improve Copolar Correlation Coefficient Estimation 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Copolar correlation coefficient is one of the essential polarimetric variables because it enhances the ability of weather radars to discriminate among different hydrometeor types as well as nonmeteorological scatterers. Theoretical values of the copolar correlation coefficient <inline-formula> <tex-math notation="LaTeX">(|\rho_\mathrm{hv}(0)|)</tex-math></inline-formula> are between zero and one, but due to statistical errors, estimates of <inline-formula> <tex-math notation="LaTeX">|\rho_\mathrm{hv}(0)|</tex-math></inline-formula> can take values that are outside this interval, in which case the estimates are deemed unusable. Additionally, even if a <inline-formula> <tex-math notation="LaTeX">|\rho_\mathrm{hv}(0)|</tex-math></inline-formula> estimate is valid, it can introduce errors in echo classification if not sufficiently accurate. Therefore, it is imperative to keep the number of invalid estimates at a minimum while maintaining the acceptable accuracy and precision of measurements. Herein, a technique to improve copolar correlation coefficient estimation is presented. The technique produces estimates with reduced bias which results in an increased number of valid estimates as well as improved accuracy of <inline-formula> <tex-math notation="LaTeX">|\rho_\mathrm{hv}(0)|</tex-math></inline-formula> fields. This is achieved through a combination of previously proposed <inline-formula> <tex-math notation="LaTeX">|\rho_\mathrm{hv}(0)|</tex-math></inline-formula> estimators with several novel estimators presented in this paper. Radar polarimetry Doppler radar weather radar Signal to noise ratio Meteorological radar Estimation Meteorology Correlation radar signal processing Enthalten in IEEE transactions on geoscience and remote sensing New York, NY : IEEE, 1964 54(2016), 10, Seite 5776-5800 (DE-627)129601667 (DE-600)241439-9 (DE-576)015095282 0196-2892 nnns volume:54 year:2016 number:10 pages:5776-5800 http://dx.doi.org/10.1109/TGRS.2016.2572185 Volltext http://ieeexplore.ieee.org/document/7505914 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-GEO SSG-OLC-FOR SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_70 AR 54 2016 10 5776-5800 |
| allfieldsGer |
10.1109/TGRS.2016.2572185 doi PQ20161012 (DE-627)OLC1981766766 (DE-599)GBVOLC1981766766 (PRQ)c1530-d1a569f2e662c593996b0dc833d4fe0aa50b1f3c6db13233daaad0b3f8d62b790 (KEY)0048677920160000054001005776techniquetoimprovecopolarcorrelationcoefficientest DE-627 ger DE-627 rakwb eng 620 550 DNB Ivic, Igor R verfasserin aut A Technique to Improve Copolar Correlation Coefficient Estimation 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Copolar correlation coefficient is one of the essential polarimetric variables because it enhances the ability of weather radars to discriminate among different hydrometeor types as well as nonmeteorological scatterers. Theoretical values of the copolar correlation coefficient <inline-formula> <tex-math notation="LaTeX">(|\rho_\mathrm{hv}(0)|)</tex-math></inline-formula> are between zero and one, but due to statistical errors, estimates of <inline-formula> <tex-math notation="LaTeX">|\rho_\mathrm{hv}(0)|</tex-math></inline-formula> can take values that are outside this interval, in which case the estimates are deemed unusable. Additionally, even if a <inline-formula> <tex-math notation="LaTeX">|\rho_\mathrm{hv}(0)|</tex-math></inline-formula> estimate is valid, it can introduce errors in echo classification if not sufficiently accurate. Therefore, it is imperative to keep the number of invalid estimates at a minimum while maintaining the acceptable accuracy and precision of measurements. Herein, a technique to improve copolar correlation coefficient estimation is presented. The technique produces estimates with reduced bias which results in an increased number of valid estimates as well as improved accuracy of <inline-formula> <tex-math notation="LaTeX">|\rho_\mathrm{hv}(0)|</tex-math></inline-formula> fields. This is achieved through a combination of previously proposed <inline-formula> <tex-math notation="LaTeX">|\rho_\mathrm{hv}(0)|</tex-math></inline-formula> estimators with several novel estimators presented in this paper. Radar polarimetry Doppler radar weather radar Signal to noise ratio Meteorological radar Estimation Meteorology Correlation radar signal processing Enthalten in IEEE transactions on geoscience and remote sensing New York, NY : IEEE, 1964 54(2016), 10, Seite 5776-5800 (DE-627)129601667 (DE-600)241439-9 (DE-576)015095282 0196-2892 nnns volume:54 year:2016 number:10 pages:5776-5800 http://dx.doi.org/10.1109/TGRS.2016.2572185 Volltext http://ieeexplore.ieee.org/document/7505914 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-GEO SSG-OLC-FOR SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_70 AR 54 2016 10 5776-5800 |
| allfieldsSound |
10.1109/TGRS.2016.2572185 doi PQ20161012 (DE-627)OLC1981766766 (DE-599)GBVOLC1981766766 (PRQ)c1530-d1a569f2e662c593996b0dc833d4fe0aa50b1f3c6db13233daaad0b3f8d62b790 (KEY)0048677920160000054001005776techniquetoimprovecopolarcorrelationcoefficientest DE-627 ger DE-627 rakwb eng 620 550 DNB Ivic, Igor R verfasserin aut A Technique to Improve Copolar Correlation Coefficient Estimation 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Copolar correlation coefficient is one of the essential polarimetric variables because it enhances the ability of weather radars to discriminate among different hydrometeor types as well as nonmeteorological scatterers. Theoretical values of the copolar correlation coefficient <inline-formula> <tex-math notation="LaTeX">(|\rho_\mathrm{hv}(0)|)</tex-math></inline-formula> are between zero and one, but due to statistical errors, estimates of <inline-formula> <tex-math notation="LaTeX">|\rho_\mathrm{hv}(0)|</tex-math></inline-formula> can take values that are outside this interval, in which case the estimates are deemed unusable. Additionally, even if a <inline-formula> <tex-math notation="LaTeX">|\rho_\mathrm{hv}(0)|</tex-math></inline-formula> estimate is valid, it can introduce errors in echo classification if not sufficiently accurate. Therefore, it is imperative to keep the number of invalid estimates at a minimum while maintaining the acceptable accuracy and precision of measurements. Herein, a technique to improve copolar correlation coefficient estimation is presented. The technique produces estimates with reduced bias which results in an increased number of valid estimates as well as improved accuracy of <inline-formula> <tex-math notation="LaTeX">|\rho_\mathrm{hv}(0)|</tex-math></inline-formula> fields. This is achieved through a combination of previously proposed <inline-formula> <tex-math notation="LaTeX">|\rho_\mathrm{hv}(0)|</tex-math></inline-formula> estimators with several novel estimators presented in this paper. Radar polarimetry Doppler radar weather radar Signal to noise ratio Meteorological radar Estimation Meteorology Correlation radar signal processing Enthalten in IEEE transactions on geoscience and remote sensing New York, NY : IEEE, 1964 54(2016), 10, Seite 5776-5800 (DE-627)129601667 (DE-600)241439-9 (DE-576)015095282 0196-2892 nnns volume:54 year:2016 number:10 pages:5776-5800 http://dx.doi.org/10.1109/TGRS.2016.2572185 Volltext http://ieeexplore.ieee.org/document/7505914 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-GEO SSG-OLC-FOR SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_70 AR 54 2016 10 5776-5800 |
| language |
English |
| source |
Enthalten in IEEE transactions on geoscience and remote sensing 54(2016), 10, Seite 5776-5800 volume:54 year:2016 number:10 pages:5776-5800 |
| sourceStr |
Enthalten in IEEE transactions on geoscience and remote sensing 54(2016), 10, Seite 5776-5800 volume:54 year:2016 number:10 pages:5776-5800 |
| format_phy_str_mv |
Article |
| institution |
findex.gbv.de |
| topic_facet |
Radar polarimetry Doppler radar weather radar Signal to noise ratio Meteorological radar Estimation Meteorology Correlation radar signal processing |
| dewey-raw |
620 |
| isfreeaccess_bool |
false |
| container_title |
IEEE transactions on geoscience and remote sensing |
| authorswithroles_txt_mv |
Ivic, Igor R @@aut@@ |
| publishDateDaySort_date |
2016-01-01T00:00:00Z |
| hierarchy_top_id |
129601667 |
| dewey-sort |
3620 |
| id |
OLC1981766766 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a2200265 4500</leader><controlfield tag="001">OLC1981766766</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230714213143.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">161013s2016 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1109/TGRS.2016.2572185</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">PQ20161012</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC1981766766</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBVOLC1981766766</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(PRQ)c1530-d1a569f2e662c593996b0dc833d4fe0aa50b1f3c6db13233daaad0b3f8d62b790</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(KEY)0048677920160000054001005776techniquetoimprovecopolarcorrelationcoefficientest</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">620</subfield><subfield code="a">550</subfield><subfield code="q">DNB</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Ivic, Igor R</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="2"><subfield code="a">A Technique to Improve Copolar Correlation Coefficient Estimation</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2016</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Copolar correlation coefficient is one of the essential polarimetric variables because it enhances the ability of weather radars to discriminate among different hydrometeor types as well as nonmeteorological scatterers. Theoretical values of the copolar correlation coefficient <inline-formula> <tex-math notation="LaTeX">(|\rho_\mathrm{hv}(0)|)</tex-math></inline-formula> are between zero and one, but due to statistical errors, estimates of <inline-formula> <tex-math notation="LaTeX">|\rho_\mathrm{hv}(0)|</tex-math></inline-formula> can take values that are outside this interval, in which case the estimates are deemed unusable. Additionally, even if a <inline-formula> <tex-math notation="LaTeX">|\rho_\mathrm{hv}(0)|</tex-math></inline-formula> estimate is valid, it can introduce errors in echo classification if not sufficiently accurate. Therefore, it is imperative to keep the number of invalid estimates at a minimum while maintaining the acceptable accuracy and precision of measurements. Herein, a technique to improve copolar correlation coefficient estimation is presented. The technique produces estimates with reduced bias which results in an increased number of valid estimates as well as improved accuracy of <inline-formula> <tex-math notation="LaTeX">|\rho_\mathrm{hv}(0)|</tex-math></inline-formula> fields. This is achieved through a combination of previously proposed <inline-formula> <tex-math notation="LaTeX">|\rho_\mathrm{hv}(0)|</tex-math></inline-formula> estimators with several novel estimators presented in this paper.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Radar polarimetry</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Doppler radar</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">weather radar</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Signal to noise ratio</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Meteorological radar</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Estimation</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Meteorology</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Correlation</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">radar signal processing</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">IEEE transactions on geoscience and remote sensing</subfield><subfield code="d">New York, NY : IEEE, 1964</subfield><subfield code="g">54(2016), 10, Seite 5776-5800</subfield><subfield code="w">(DE-627)129601667</subfield><subfield code="w">(DE-600)241439-9</subfield><subfield code="w">(DE-576)015095282</subfield><subfield code="x">0196-2892</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:54</subfield><subfield code="g">year:2016</subfield><subfield code="g">number:10</subfield><subfield code="g">pages:5776-5800</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">http://dx.doi.org/10.1109/TGRS.2016.2572185</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://ieeexplore.ieee.org/document/7505914</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-ARC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-TEC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-GEO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-FOR</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-GGO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-GEO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">54</subfield><subfield code="j">2016</subfield><subfield code="e">10</subfield><subfield code="h">5776-5800</subfield></datafield></record></collection>
|
| author |
Ivic, Igor R |
| spellingShingle |
Ivic, Igor R ddc 620 misc Radar polarimetry misc Doppler radar misc weather radar misc Signal to noise ratio misc Meteorological radar misc Estimation misc Meteorology misc Correlation misc radar signal processing A Technique to Improve Copolar Correlation Coefficient Estimation |
| authorStr |
Ivic, Igor R |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)129601667 |
| format |
Article |
| dewey-ones |
620 - Engineering & allied operations 550 - Earth sciences |
| delete_txt_mv |
keep |
| author_role |
aut |
| collection |
OLC |
| remote_str |
false |
| illustrated |
Not Illustrated |
| issn |
0196-2892 |
| topic_title |
620 550 DNB A Technique to Improve Copolar Correlation Coefficient Estimation Radar polarimetry Doppler radar weather radar Signal to noise ratio Meteorological radar Estimation Meteorology Correlation radar signal processing |
| topic |
ddc 620 misc Radar polarimetry misc Doppler radar misc weather radar misc Signal to noise ratio misc Meteorological radar misc Estimation misc Meteorology misc Correlation misc radar signal processing |
| topic_unstemmed |
ddc 620 misc Radar polarimetry misc Doppler radar misc weather radar misc Signal to noise ratio misc Meteorological radar misc Estimation misc Meteorology misc Correlation misc radar signal processing |
| topic_browse |
ddc 620 misc Radar polarimetry misc Doppler radar misc weather radar misc Signal to noise ratio misc Meteorological radar misc Estimation misc Meteorology misc Correlation misc radar signal processing |
| format_facet |
Aufsätze Gedruckte Aufsätze |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
nc |
| hierarchy_parent_title |
IEEE transactions on geoscience and remote sensing |
| hierarchy_parent_id |
129601667 |
| dewey-tens |
620 - Engineering 550 - Earth sciences & geology |
| hierarchy_top_title |
IEEE transactions on geoscience and remote sensing |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)129601667 (DE-600)241439-9 (DE-576)015095282 |
| title |
A Technique to Improve Copolar Correlation Coefficient Estimation |
| ctrlnum |
(DE-627)OLC1981766766 (DE-599)GBVOLC1981766766 (PRQ)c1530-d1a569f2e662c593996b0dc833d4fe0aa50b1f3c6db13233daaad0b3f8d62b790 (KEY)0048677920160000054001005776techniquetoimprovecopolarcorrelationcoefficientest |
| title_full |
A Technique to Improve Copolar Correlation Coefficient Estimation |
| author_sort |
Ivic, Igor R |
| journal |
IEEE transactions on geoscience and remote sensing |
| journalStr |
IEEE transactions on geoscience and remote sensing |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
600 - Technology 500 - Science |
| recordtype |
marc |
| publishDateSort |
2016 |
| contenttype_str_mv |
txt |
| container_start_page |
5776 |
| author_browse |
Ivic, Igor R |
| container_volume |
54 |
| class |
620 550 DNB |
| format_se |
Aufsätze |
| author-letter |
Ivic, Igor R |
| doi_str_mv |
10.1109/TGRS.2016.2572185 |
| dewey-full |
620 550 |
| title_sort |
technique to improve copolar correlation coefficient estimation |
| title_auth |
A Technique to Improve Copolar Correlation Coefficient Estimation |
| abstract |
Copolar correlation coefficient is one of the essential polarimetric variables because it enhances the ability of weather radars to discriminate among different hydrometeor types as well as nonmeteorological scatterers. Theoretical values of the copolar correlation coefficient <inline-formula> <tex-math notation="LaTeX">(|\rho_\mathrm{hv}(0)|)</tex-math></inline-formula> are between zero and one, but due to statistical errors, estimates of <inline-formula> <tex-math notation="LaTeX">|\rho_\mathrm{hv}(0)|</tex-math></inline-formula> can take values that are outside this interval, in which case the estimates are deemed unusable. Additionally, even if a <inline-formula> <tex-math notation="LaTeX">|\rho_\mathrm{hv}(0)|</tex-math></inline-formula> estimate is valid, it can introduce errors in echo classification if not sufficiently accurate. Therefore, it is imperative to keep the number of invalid estimates at a minimum while maintaining the acceptable accuracy and precision of measurements. Herein, a technique to improve copolar correlation coefficient estimation is presented. The technique produces estimates with reduced bias which results in an increased number of valid estimates as well as improved accuracy of <inline-formula> <tex-math notation="LaTeX">|\rho_\mathrm{hv}(0)|</tex-math></inline-formula> fields. This is achieved through a combination of previously proposed <inline-formula> <tex-math notation="LaTeX">|\rho_\mathrm{hv}(0)|</tex-math></inline-formula> estimators with several novel estimators presented in this paper. |
| abstractGer |
Copolar correlation coefficient is one of the essential polarimetric variables because it enhances the ability of weather radars to discriminate among different hydrometeor types as well as nonmeteorological scatterers. Theoretical values of the copolar correlation coefficient <inline-formula> <tex-math notation="LaTeX">(|\rho_\mathrm{hv}(0)|)</tex-math></inline-formula> are between zero and one, but due to statistical errors, estimates of <inline-formula> <tex-math notation="LaTeX">|\rho_\mathrm{hv}(0)|</tex-math></inline-formula> can take values that are outside this interval, in which case the estimates are deemed unusable. Additionally, even if a <inline-formula> <tex-math notation="LaTeX">|\rho_\mathrm{hv}(0)|</tex-math></inline-formula> estimate is valid, it can introduce errors in echo classification if not sufficiently accurate. Therefore, it is imperative to keep the number of invalid estimates at a minimum while maintaining the acceptable accuracy and precision of measurements. Herein, a technique to improve copolar correlation coefficient estimation is presented. The technique produces estimates with reduced bias which results in an increased number of valid estimates as well as improved accuracy of <inline-formula> <tex-math notation="LaTeX">|\rho_\mathrm{hv}(0)|</tex-math></inline-formula> fields. This is achieved through a combination of previously proposed <inline-formula> <tex-math notation="LaTeX">|\rho_\mathrm{hv}(0)|</tex-math></inline-formula> estimators with several novel estimators presented in this paper. |
| abstract_unstemmed |
Copolar correlation coefficient is one of the essential polarimetric variables because it enhances the ability of weather radars to discriminate among different hydrometeor types as well as nonmeteorological scatterers. Theoretical values of the copolar correlation coefficient <inline-formula> <tex-math notation="LaTeX">(|\rho_\mathrm{hv}(0)|)</tex-math></inline-formula> are between zero and one, but due to statistical errors, estimates of <inline-formula> <tex-math notation="LaTeX">|\rho_\mathrm{hv}(0)|</tex-math></inline-formula> can take values that are outside this interval, in which case the estimates are deemed unusable. Additionally, even if a <inline-formula> <tex-math notation="LaTeX">|\rho_\mathrm{hv}(0)|</tex-math></inline-formula> estimate is valid, it can introduce errors in echo classification if not sufficiently accurate. Therefore, it is imperative to keep the number of invalid estimates at a minimum while maintaining the acceptable accuracy and precision of measurements. Herein, a technique to improve copolar correlation coefficient estimation is presented. The technique produces estimates with reduced bias which results in an increased number of valid estimates as well as improved accuracy of <inline-formula> <tex-math notation="LaTeX">|\rho_\mathrm{hv}(0)|</tex-math></inline-formula> fields. This is achieved through a combination of previously proposed <inline-formula> <tex-math notation="LaTeX">|\rho_\mathrm{hv}(0)|</tex-math></inline-formula> estimators with several novel estimators presented in this paper. |
| collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-GEO SSG-OLC-FOR SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_70 |
| container_issue |
10 |
| title_short |
A Technique to Improve Copolar Correlation Coefficient Estimation |
| url |
http://dx.doi.org/10.1109/TGRS.2016.2572185 http://ieeexplore.ieee.org/document/7505914 |
| remote_bool |
false |
| ppnlink |
129601667 |
| mediatype_str_mv |
n |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| doi_str |
10.1109/TGRS.2016.2572185 |
| up_date |
2024-07-03T14:36:55.399Z |
| _version_ |
1803568981370470400 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a2200265 4500</leader><controlfield tag="001">OLC1981766766</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230714213143.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">161013s2016 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1109/TGRS.2016.2572185</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">PQ20161012</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC1981766766</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBVOLC1981766766</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(PRQ)c1530-d1a569f2e662c593996b0dc833d4fe0aa50b1f3c6db13233daaad0b3f8d62b790</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(KEY)0048677920160000054001005776techniquetoimprovecopolarcorrelationcoefficientest</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">620</subfield><subfield code="a">550</subfield><subfield code="q">DNB</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Ivic, Igor R</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="2"><subfield code="a">A Technique to Improve Copolar Correlation Coefficient Estimation</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2016</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Copolar correlation coefficient is one of the essential polarimetric variables because it enhances the ability of weather radars to discriminate among different hydrometeor types as well as nonmeteorological scatterers. Theoretical values of the copolar correlation coefficient <inline-formula> <tex-math notation="LaTeX">(|\rho_\mathrm{hv}(0)|)</tex-math></inline-formula> are between zero and one, but due to statistical errors, estimates of <inline-formula> <tex-math notation="LaTeX">|\rho_\mathrm{hv}(0)|</tex-math></inline-formula> can take values that are outside this interval, in which case the estimates are deemed unusable. Additionally, even if a <inline-formula> <tex-math notation="LaTeX">|\rho_\mathrm{hv}(0)|</tex-math></inline-formula> estimate is valid, it can introduce errors in echo classification if not sufficiently accurate. Therefore, it is imperative to keep the number of invalid estimates at a minimum while maintaining the acceptable accuracy and precision of measurements. Herein, a technique to improve copolar correlation coefficient estimation is presented. The technique produces estimates with reduced bias which results in an increased number of valid estimates as well as improved accuracy of <inline-formula> <tex-math notation="LaTeX">|\rho_\mathrm{hv}(0)|</tex-math></inline-formula> fields. This is achieved through a combination of previously proposed <inline-formula> <tex-math notation="LaTeX">|\rho_\mathrm{hv}(0)|</tex-math></inline-formula> estimators with several novel estimators presented in this paper.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Radar polarimetry</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Doppler radar</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">weather radar</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Signal to noise ratio</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Meteorological radar</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Estimation</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Meteorology</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Correlation</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">radar signal processing</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">IEEE transactions on geoscience and remote sensing</subfield><subfield code="d">New York, NY : IEEE, 1964</subfield><subfield code="g">54(2016), 10, Seite 5776-5800</subfield><subfield code="w">(DE-627)129601667</subfield><subfield code="w">(DE-600)241439-9</subfield><subfield code="w">(DE-576)015095282</subfield><subfield code="x">0196-2892</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:54</subfield><subfield code="g">year:2016</subfield><subfield code="g">number:10</subfield><subfield code="g">pages:5776-5800</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">http://dx.doi.org/10.1109/TGRS.2016.2572185</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://ieeexplore.ieee.org/document/7505914</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-ARC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-TEC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-GEO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-FOR</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-GGO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-GEO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">54</subfield><subfield code="j">2016</subfield><subfield code="e">10</subfield><subfield code="h">5776-5800</subfield></datafield></record></collection>
|
| score |
7.3994284 |