A novel multiple small-angle scattering framework for interpreting anisotropic polarization pattern of lidar returns from water clouds
• New multiple small-angle scattering framework is presented to interpret lidar backscattering reduced Mueller matrix. • Quasi-linear relationship between reduced Mueller matrix and single large-angle backscattering phase matrix is established and validated. • Radiative transfer model MSCART is exte...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Zhang, Jingxin [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2020 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Self-supervised multimodal reconstruction pre-training for retinal computer-aided diagnosis - Hervella, Álvaro S. ELSEVIER, 2021, JQSRT, New York, NY [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:242 ; year:2020 ; pages:0 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.jqsrt.2019.106794 |
|---|
| Katalog-ID: |
ELV049096478 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | ELV049096478 | ||
| 003 | DE-627 | ||
| 005 | 20230624151849.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 200128s2020 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1016/j.jqsrt.2019.106794 |2 doi | |
| 028 | 5 | 2 | |a /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000907.pica |
| 035 | |a (DE-627)ELV049096478 | ||
| 035 | |a (ELSEVIER)S0022-4073(19)30688-0 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 004 |q VZ |
| 084 | |a 54.72 |2 bkl | ||
| 100 | 1 | |a Zhang, Jingxin |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a A novel multiple small-angle scattering framework for interpreting anisotropic polarization pattern of lidar returns from water clouds |
| 264 | 1 | |c 2020 | |
| 336 | |a nicht spezifiziert |b zzz |2 rdacontent | ||
| 337 | |a nicht spezifiziert |b z |2 rdamedia | ||
| 338 | |a nicht spezifiziert |b zu |2 rdacarrier | ||
| 520 | |a • New multiple small-angle scattering framework is presented to interpret lidar backscattering reduced Mueller matrix. • Quasi-linear relationship between reduced Mueller matrix and single large-angle backscattering phase matrix is established and validated. • Radiative transfer model MSCART is extended to simulating linearly- and circularly-polarized lidar Stokes vector signals. • Azimuthal Fourier transform technique is proposed to extract reduced Mueller matrix from MSCART simulated results. | ||
| 700 | 1 | |a Wang, Zhen |4 oth | |
| 700 | 1 | |a Zhang, Feng |4 oth | |
| 700 | 1 | |a Gao, Haiyang |4 oth | |
| 700 | 1 | |a Wang, Jinhu |4 oth | |
| 700 | 1 | |a Cui, Shengcheng |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |n Elsevier |a Hervella, Álvaro S. ELSEVIER |t Self-supervised multimodal reconstruction pre-training for retinal computer-aided diagnosis |d 2021 |d JQSRT |g New York, NY [u.a.] |w (DE-627)ELV006657966 |
| 773 | 1 | 8 | |g volume:242 |g year:2020 |g pages:0 |
| 856 | 4 | 0 | |u https://doi.org/10.1016/j.jqsrt.2019.106794 |3 Volltext |
| 912 | |a GBV_USEFLAG_U | ||
| 912 | |a GBV_ELV | ||
| 912 | |a SYSFLAG_U | ||
| 936 | b | k | |a 54.72 |j Künstliche Intelligenz |q VZ |
| 951 | |a AR | ||
| 952 | |d 242 |j 2020 |h 0 | ||
| author_variant |
j z jz |
|---|---|
| matchkey_str |
zhangjingxinwangzhenzhangfenggaohaiyangw:2020----:nvlutpemlagecteigrmwrfrnepeignstoiplrztopte |
| hierarchy_sort_str |
2020 |
| bklnumber |
54.72 |
| publishDate |
2020 |
| allfields |
10.1016/j.jqsrt.2019.106794 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000907.pica (DE-627)ELV049096478 (ELSEVIER)S0022-4073(19)30688-0 DE-627 ger DE-627 rakwb eng 004 VZ 54.72 bkl Zhang, Jingxin verfasserin aut A novel multiple small-angle scattering framework for interpreting anisotropic polarization pattern of lidar returns from water clouds 2020 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • New multiple small-angle scattering framework is presented to interpret lidar backscattering reduced Mueller matrix. • Quasi-linear relationship between reduced Mueller matrix and single large-angle backscattering phase matrix is established and validated. • Radiative transfer model MSCART is extended to simulating linearly- and circularly-polarized lidar Stokes vector signals. • Azimuthal Fourier transform technique is proposed to extract reduced Mueller matrix from MSCART simulated results. Wang, Zhen oth Zhang, Feng oth Gao, Haiyang oth Wang, Jinhu oth Cui, Shengcheng oth Enthalten in Elsevier Hervella, Álvaro S. ELSEVIER Self-supervised multimodal reconstruction pre-training for retinal computer-aided diagnosis 2021 JQSRT New York, NY [u.a.] (DE-627)ELV006657966 volume:242 year:2020 pages:0 https://doi.org/10.1016/j.jqsrt.2019.106794 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 54.72 Künstliche Intelligenz VZ AR 242 2020 0 |
| spelling |
10.1016/j.jqsrt.2019.106794 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000907.pica (DE-627)ELV049096478 (ELSEVIER)S0022-4073(19)30688-0 DE-627 ger DE-627 rakwb eng 004 VZ 54.72 bkl Zhang, Jingxin verfasserin aut A novel multiple small-angle scattering framework for interpreting anisotropic polarization pattern of lidar returns from water clouds 2020 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • New multiple small-angle scattering framework is presented to interpret lidar backscattering reduced Mueller matrix. • Quasi-linear relationship between reduced Mueller matrix and single large-angle backscattering phase matrix is established and validated. • Radiative transfer model MSCART is extended to simulating linearly- and circularly-polarized lidar Stokes vector signals. • Azimuthal Fourier transform technique is proposed to extract reduced Mueller matrix from MSCART simulated results. Wang, Zhen oth Zhang, Feng oth Gao, Haiyang oth Wang, Jinhu oth Cui, Shengcheng oth Enthalten in Elsevier Hervella, Álvaro S. ELSEVIER Self-supervised multimodal reconstruction pre-training for retinal computer-aided diagnosis 2021 JQSRT New York, NY [u.a.] (DE-627)ELV006657966 volume:242 year:2020 pages:0 https://doi.org/10.1016/j.jqsrt.2019.106794 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 54.72 Künstliche Intelligenz VZ AR 242 2020 0 |
| allfields_unstemmed |
10.1016/j.jqsrt.2019.106794 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000907.pica (DE-627)ELV049096478 (ELSEVIER)S0022-4073(19)30688-0 DE-627 ger DE-627 rakwb eng 004 VZ 54.72 bkl Zhang, Jingxin verfasserin aut A novel multiple small-angle scattering framework for interpreting anisotropic polarization pattern of lidar returns from water clouds 2020 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • New multiple small-angle scattering framework is presented to interpret lidar backscattering reduced Mueller matrix. • Quasi-linear relationship between reduced Mueller matrix and single large-angle backscattering phase matrix is established and validated. • Radiative transfer model MSCART is extended to simulating linearly- and circularly-polarized lidar Stokes vector signals. • Azimuthal Fourier transform technique is proposed to extract reduced Mueller matrix from MSCART simulated results. Wang, Zhen oth Zhang, Feng oth Gao, Haiyang oth Wang, Jinhu oth Cui, Shengcheng oth Enthalten in Elsevier Hervella, Álvaro S. ELSEVIER Self-supervised multimodal reconstruction pre-training for retinal computer-aided diagnosis 2021 JQSRT New York, NY [u.a.] (DE-627)ELV006657966 volume:242 year:2020 pages:0 https://doi.org/10.1016/j.jqsrt.2019.106794 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 54.72 Künstliche Intelligenz VZ AR 242 2020 0 |
| allfieldsGer |
10.1016/j.jqsrt.2019.106794 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000907.pica (DE-627)ELV049096478 (ELSEVIER)S0022-4073(19)30688-0 DE-627 ger DE-627 rakwb eng 004 VZ 54.72 bkl Zhang, Jingxin verfasserin aut A novel multiple small-angle scattering framework for interpreting anisotropic polarization pattern of lidar returns from water clouds 2020 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • New multiple small-angle scattering framework is presented to interpret lidar backscattering reduced Mueller matrix. • Quasi-linear relationship between reduced Mueller matrix and single large-angle backscattering phase matrix is established and validated. • Radiative transfer model MSCART is extended to simulating linearly- and circularly-polarized lidar Stokes vector signals. • Azimuthal Fourier transform technique is proposed to extract reduced Mueller matrix from MSCART simulated results. Wang, Zhen oth Zhang, Feng oth Gao, Haiyang oth Wang, Jinhu oth Cui, Shengcheng oth Enthalten in Elsevier Hervella, Álvaro S. ELSEVIER Self-supervised multimodal reconstruction pre-training for retinal computer-aided diagnosis 2021 JQSRT New York, NY [u.a.] (DE-627)ELV006657966 volume:242 year:2020 pages:0 https://doi.org/10.1016/j.jqsrt.2019.106794 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 54.72 Künstliche Intelligenz VZ AR 242 2020 0 |
| allfieldsSound |
10.1016/j.jqsrt.2019.106794 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000907.pica (DE-627)ELV049096478 (ELSEVIER)S0022-4073(19)30688-0 DE-627 ger DE-627 rakwb eng 004 VZ 54.72 bkl Zhang, Jingxin verfasserin aut A novel multiple small-angle scattering framework for interpreting anisotropic polarization pattern of lidar returns from water clouds 2020 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • New multiple small-angle scattering framework is presented to interpret lidar backscattering reduced Mueller matrix. • Quasi-linear relationship between reduced Mueller matrix and single large-angle backscattering phase matrix is established and validated. • Radiative transfer model MSCART is extended to simulating linearly- and circularly-polarized lidar Stokes vector signals. • Azimuthal Fourier transform technique is proposed to extract reduced Mueller matrix from MSCART simulated results. Wang, Zhen oth Zhang, Feng oth Gao, Haiyang oth Wang, Jinhu oth Cui, Shengcheng oth Enthalten in Elsevier Hervella, Álvaro S. ELSEVIER Self-supervised multimodal reconstruction pre-training for retinal computer-aided diagnosis 2021 JQSRT New York, NY [u.a.] (DE-627)ELV006657966 volume:242 year:2020 pages:0 https://doi.org/10.1016/j.jqsrt.2019.106794 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 54.72 Künstliche Intelligenz VZ AR 242 2020 0 |
| language |
English |
| source |
Enthalten in Self-supervised multimodal reconstruction pre-training for retinal computer-aided diagnosis New York, NY [u.a.] volume:242 year:2020 pages:0 |
| sourceStr |
Enthalten in Self-supervised multimodal reconstruction pre-training for retinal computer-aided diagnosis New York, NY [u.a.] volume:242 year:2020 pages:0 |
| format_phy_str_mv |
Article |
| bklname |
Künstliche Intelligenz |
| institution |
findex.gbv.de |
| dewey-raw |
004 |
| isfreeaccess_bool |
false |
| container_title |
Self-supervised multimodal reconstruction pre-training for retinal computer-aided diagnosis |
| authorswithroles_txt_mv |
Zhang, Jingxin @@aut@@ Wang, Zhen @@oth@@ Zhang, Feng @@oth@@ Gao, Haiyang @@oth@@ Wang, Jinhu @@oth@@ Cui, Shengcheng @@oth@@ |
| publishDateDaySort_date |
2020-01-01T00:00:00Z |
| hierarchy_top_id |
ELV006657966 |
| dewey-sort |
14 |
| id |
ELV049096478 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV049096478</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230624151849.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">200128s2020 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.jqsrt.2019.106794</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">/cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000907.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV049096478</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0022-4073(19)30688-0</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">004</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">54.72</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Zhang, Jingxin</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">A novel multiple small-angle scattering framework for interpreting anisotropic polarization pattern of lidar returns from water clouds</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2020</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">• New multiple small-angle scattering framework is presented to interpret lidar backscattering reduced Mueller matrix. • Quasi-linear relationship between reduced Mueller matrix and single large-angle backscattering phase matrix is established and validated. • Radiative transfer model MSCART is extended to simulating linearly- and circularly-polarized lidar Stokes vector signals. • Azimuthal Fourier transform technique is proposed to extract reduced Mueller matrix from MSCART simulated results.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Zhen</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhang, Feng</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gao, Haiyang</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Jinhu</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Cui, Shengcheng</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier</subfield><subfield code="a">Hervella, Álvaro S. ELSEVIER</subfield><subfield code="t">Self-supervised multimodal reconstruction pre-training for retinal computer-aided diagnosis</subfield><subfield code="d">2021</subfield><subfield code="d">JQSRT</subfield><subfield code="g">New York, NY [u.a.]</subfield><subfield code="w">(DE-627)ELV006657966</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:242</subfield><subfield code="g">year:2020</subfield><subfield code="g">pages:0</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.jqsrt.2019.106794</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">54.72</subfield><subfield code="j">Künstliche Intelligenz</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">242</subfield><subfield code="j">2020</subfield><subfield code="h">0</subfield></datafield></record></collection>
|
| author |
Zhang, Jingxin |
| spellingShingle |
Zhang, Jingxin ddc 004 bkl 54.72 A novel multiple small-angle scattering framework for interpreting anisotropic polarization pattern of lidar returns from water clouds |
| authorStr |
Zhang, Jingxin |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)ELV006657966 |
| format |
electronic Article |
| dewey-ones |
004 - Data processing & computer science |
| delete_txt_mv |
keep |
| author_role |
aut |
| collection |
elsevier |
| remote_str |
true |
| illustrated |
Not Illustrated |
| topic_title |
004 VZ 54.72 bkl A novel multiple small-angle scattering framework for interpreting anisotropic polarization pattern of lidar returns from water clouds |
| topic |
ddc 004 bkl 54.72 |
| topic_unstemmed |
ddc 004 bkl 54.72 |
| topic_browse |
ddc 004 bkl 54.72 |
| format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
zu |
| author2_variant |
z w zw f z fz h g hg j w jw s c sc |
| hierarchy_parent_title |
Self-supervised multimodal reconstruction pre-training for retinal computer-aided diagnosis |
| hierarchy_parent_id |
ELV006657966 |
| dewey-tens |
000 - Computer science, knowledge & systems |
| hierarchy_top_title |
Self-supervised multimodal reconstruction pre-training for retinal computer-aided diagnosis |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)ELV006657966 |
| title |
A novel multiple small-angle scattering framework for interpreting anisotropic polarization pattern of lidar returns from water clouds |
| ctrlnum |
(DE-627)ELV049096478 (ELSEVIER)S0022-4073(19)30688-0 |
| title_full |
A novel multiple small-angle scattering framework for interpreting anisotropic polarization pattern of lidar returns from water clouds |
| author_sort |
Zhang, Jingxin |
| journal |
Self-supervised multimodal reconstruction pre-training for retinal computer-aided diagnosis |
| journalStr |
Self-supervised multimodal reconstruction pre-training for retinal computer-aided diagnosis |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
000 - Computer science, information & general works |
| recordtype |
marc |
| publishDateSort |
2020 |
| contenttype_str_mv |
zzz |
| container_start_page |
0 |
| author_browse |
Zhang, Jingxin |
| container_volume |
242 |
| class |
004 VZ 54.72 bkl |
| format_se |
Elektronische Aufsätze |
| author-letter |
Zhang, Jingxin |
| doi_str_mv |
10.1016/j.jqsrt.2019.106794 |
| dewey-full |
004 |
| title_sort |
a novel multiple small-angle scattering framework for interpreting anisotropic polarization pattern of lidar returns from water clouds |
| title_auth |
A novel multiple small-angle scattering framework for interpreting anisotropic polarization pattern of lidar returns from water clouds |
| abstract |
• New multiple small-angle scattering framework is presented to interpret lidar backscattering reduced Mueller matrix. • Quasi-linear relationship between reduced Mueller matrix and single large-angle backscattering phase matrix is established and validated. • Radiative transfer model MSCART is extended to simulating linearly- and circularly-polarized lidar Stokes vector signals. • Azimuthal Fourier transform technique is proposed to extract reduced Mueller matrix from MSCART simulated results. |
| abstractGer |
• New multiple small-angle scattering framework is presented to interpret lidar backscattering reduced Mueller matrix. • Quasi-linear relationship between reduced Mueller matrix and single large-angle backscattering phase matrix is established and validated. • Radiative transfer model MSCART is extended to simulating linearly- and circularly-polarized lidar Stokes vector signals. • Azimuthal Fourier transform technique is proposed to extract reduced Mueller matrix from MSCART simulated results. |
| abstract_unstemmed |
• New multiple small-angle scattering framework is presented to interpret lidar backscattering reduced Mueller matrix. • Quasi-linear relationship between reduced Mueller matrix and single large-angle backscattering phase matrix is established and validated. • Radiative transfer model MSCART is extended to simulating linearly- and circularly-polarized lidar Stokes vector signals. • Azimuthal Fourier transform technique is proposed to extract reduced Mueller matrix from MSCART simulated results. |
| collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U |
| title_short |
A novel multiple small-angle scattering framework for interpreting anisotropic polarization pattern of lidar returns from water clouds |
| url |
https://doi.org/10.1016/j.jqsrt.2019.106794 |
| remote_bool |
true |
| author2 |
Wang, Zhen Zhang, Feng Gao, Haiyang Wang, Jinhu Cui, Shengcheng |
| author2Str |
Wang, Zhen Zhang, Feng Gao, Haiyang Wang, Jinhu Cui, Shengcheng |
| ppnlink |
ELV006657966 |
| mediatype_str_mv |
z |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| author2_role |
oth oth oth oth oth |
| doi_str |
10.1016/j.jqsrt.2019.106794 |
| up_date |
2024-07-06T20:37:46.021Z |
| _version_ |
1803863474593333248 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV049096478</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230624151849.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">200128s2020 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.jqsrt.2019.106794</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">/cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000907.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV049096478</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0022-4073(19)30688-0</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">004</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">54.72</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Zhang, Jingxin</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">A novel multiple small-angle scattering framework for interpreting anisotropic polarization pattern of lidar returns from water clouds</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2020</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">• New multiple small-angle scattering framework is presented to interpret lidar backscattering reduced Mueller matrix. • Quasi-linear relationship between reduced Mueller matrix and single large-angle backscattering phase matrix is established and validated. • Radiative transfer model MSCART is extended to simulating linearly- and circularly-polarized lidar Stokes vector signals. • Azimuthal Fourier transform technique is proposed to extract reduced Mueller matrix from MSCART simulated results.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Zhen</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhang, Feng</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gao, Haiyang</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Jinhu</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Cui, Shengcheng</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier</subfield><subfield code="a">Hervella, Álvaro S. ELSEVIER</subfield><subfield code="t">Self-supervised multimodal reconstruction pre-training for retinal computer-aided diagnosis</subfield><subfield code="d">2021</subfield><subfield code="d">JQSRT</subfield><subfield code="g">New York, NY [u.a.]</subfield><subfield code="w">(DE-627)ELV006657966</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:242</subfield><subfield code="g">year:2020</subfield><subfield code="g">pages:0</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.jqsrt.2019.106794</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">54.72</subfield><subfield code="j">Künstliche Intelligenz</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">242</subfield><subfield code="j">2020</subfield><subfield code="h">0</subfield></datafield></record></collection>
|
| score |
7.399699 |