One-pass lossless data hiding and compression of remote sensing data
The information obtained by means of spectral remote sensing (i.e., the hyperspectral images) are involved in several real-life scenarios and applications. Historical research, monitoring of environmental hazards, forensics and counter-terrorism are some examples of contexts in which the hyperspectr...
Ausführliche Beschreibung
Autor*in: |
Carpentieri, Bruno [verfasserIn] Castiglione, Arcangelo [verfasserIn] De Santis, Alfredo [verfasserIn] Palmieri, Francesco [verfasserIn] Pizzolante, Raffaele [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2018 |
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Schlagwörter: |
Reversible invisible watermark |
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Übergeordnetes Werk: |
Enthalten in: Future generation computer systems - Amsterdam [u.a.] : Elsevier Science, 1984, 90, Seite 222-239 |
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Übergeordnetes Werk: |
volume:90 ; pages:222-239 |
DOI / URN: |
10.1016/j.future.2018.07.051 |
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Katalog-ID: |
ELV000592994 |
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245 | 1 | 0 | |a One-pass lossless data hiding and compression of remote sensing data |
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520 | |a The information obtained by means of spectral remote sensing (i.e., the hyperspectral images) are involved in several real-life scenarios and applications. Historical research, monitoring of environmental hazards, forensics and counter-terrorism are some examples of contexts in which the hyperspectral data play an important role. | ||
650 | 4 | |a Reversible data hiding | |
650 | 4 | |a Reversible invisible watermark | |
650 | 4 | |a Hyperspectral data hiding | |
650 | 4 | |a Hyperspectral images protection | |
650 | 4 | |a Data integrity | |
650 | 4 | |a Authentication | |
700 | 1 | |a Castiglione, Arcangelo |e verfasserin |0 (orcid)0000-0002-7991-2410 |4 aut | |
700 | 1 | |a De Santis, Alfredo |e verfasserin |4 aut | |
700 | 1 | |a Palmieri, Francesco |e verfasserin |0 (orcid)0000-0003-1760-5527 |4 aut | |
700 | 1 | |a Pizzolante, Raffaele |e verfasserin |4 aut | |
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2018 |
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54.00 |
publishDate |
2018 |
allfields |
10.1016/j.future.2018.07.051 doi (DE-627)ELV000592994 (ELSEVIER)S0167-739X(18)30662-9 DE-627 ger DE-627 rda eng 004 DE-600 54.00 bkl Carpentieri, Bruno verfasserin (orcid)0000-0003-1960-9986 aut One-pass lossless data hiding and compression of remote sensing data 2018 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The information obtained by means of spectral remote sensing (i.e., the hyperspectral images) are involved in several real-life scenarios and applications. Historical research, monitoring of environmental hazards, forensics and counter-terrorism are some examples of contexts in which the hyperspectral data play an important role. Reversible data hiding Reversible invisible watermark Hyperspectral data hiding Hyperspectral images protection Data integrity Authentication Castiglione, Arcangelo verfasserin (orcid)0000-0002-7991-2410 aut De Santis, Alfredo verfasserin aut Palmieri, Francesco verfasserin (orcid)0000-0003-1760-5527 aut Pizzolante, Raffaele verfasserin aut Enthalten in Future generation computer systems Amsterdam [u.a.] : Elsevier Science, 1984 90, Seite 222-239 Online-Ressource (DE-627)320604284 (DE-600)2020551-X (DE-576)094399212 0167-739X nnns volume:90 pages:222-239 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 54.00 Informatik: Allgemeines AR 90 222-239 |
spelling |
10.1016/j.future.2018.07.051 doi (DE-627)ELV000592994 (ELSEVIER)S0167-739X(18)30662-9 DE-627 ger DE-627 rda eng 004 DE-600 54.00 bkl Carpentieri, Bruno verfasserin (orcid)0000-0003-1960-9986 aut One-pass lossless data hiding and compression of remote sensing data 2018 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The information obtained by means of spectral remote sensing (i.e., the hyperspectral images) are involved in several real-life scenarios and applications. Historical research, monitoring of environmental hazards, forensics and counter-terrorism are some examples of contexts in which the hyperspectral data play an important role. Reversible data hiding Reversible invisible watermark Hyperspectral data hiding Hyperspectral images protection Data integrity Authentication Castiglione, Arcangelo verfasserin (orcid)0000-0002-7991-2410 aut De Santis, Alfredo verfasserin aut Palmieri, Francesco verfasserin (orcid)0000-0003-1760-5527 aut Pizzolante, Raffaele verfasserin aut Enthalten in Future generation computer systems Amsterdam [u.a.] : Elsevier Science, 1984 90, Seite 222-239 Online-Ressource (DE-627)320604284 (DE-600)2020551-X (DE-576)094399212 0167-739X nnns volume:90 pages:222-239 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 54.00 Informatik: Allgemeines AR 90 222-239 |
allfields_unstemmed |
10.1016/j.future.2018.07.051 doi (DE-627)ELV000592994 (ELSEVIER)S0167-739X(18)30662-9 DE-627 ger DE-627 rda eng 004 DE-600 54.00 bkl Carpentieri, Bruno verfasserin (orcid)0000-0003-1960-9986 aut One-pass lossless data hiding and compression of remote sensing data 2018 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The information obtained by means of spectral remote sensing (i.e., the hyperspectral images) are involved in several real-life scenarios and applications. Historical research, monitoring of environmental hazards, forensics and counter-terrorism are some examples of contexts in which the hyperspectral data play an important role. Reversible data hiding Reversible invisible watermark Hyperspectral data hiding Hyperspectral images protection Data integrity Authentication Castiglione, Arcangelo verfasserin (orcid)0000-0002-7991-2410 aut De Santis, Alfredo verfasserin aut Palmieri, Francesco verfasserin (orcid)0000-0003-1760-5527 aut Pizzolante, Raffaele verfasserin aut Enthalten in Future generation computer systems Amsterdam [u.a.] : Elsevier Science, 1984 90, Seite 222-239 Online-Ressource (DE-627)320604284 (DE-600)2020551-X (DE-576)094399212 0167-739X nnns volume:90 pages:222-239 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 54.00 Informatik: Allgemeines AR 90 222-239 |
allfieldsGer |
10.1016/j.future.2018.07.051 doi (DE-627)ELV000592994 (ELSEVIER)S0167-739X(18)30662-9 DE-627 ger DE-627 rda eng 004 DE-600 54.00 bkl Carpentieri, Bruno verfasserin (orcid)0000-0003-1960-9986 aut One-pass lossless data hiding and compression of remote sensing data 2018 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The information obtained by means of spectral remote sensing (i.e., the hyperspectral images) are involved in several real-life scenarios and applications. Historical research, monitoring of environmental hazards, forensics and counter-terrorism are some examples of contexts in which the hyperspectral data play an important role. Reversible data hiding Reversible invisible watermark Hyperspectral data hiding Hyperspectral images protection Data integrity Authentication Castiglione, Arcangelo verfasserin (orcid)0000-0002-7991-2410 aut De Santis, Alfredo verfasserin aut Palmieri, Francesco verfasserin (orcid)0000-0003-1760-5527 aut Pizzolante, Raffaele verfasserin aut Enthalten in Future generation computer systems Amsterdam [u.a.] : Elsevier Science, 1984 90, Seite 222-239 Online-Ressource (DE-627)320604284 (DE-600)2020551-X (DE-576)094399212 0167-739X nnns volume:90 pages:222-239 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 54.00 Informatik: Allgemeines AR 90 222-239 |
allfieldsSound |
10.1016/j.future.2018.07.051 doi (DE-627)ELV000592994 (ELSEVIER)S0167-739X(18)30662-9 DE-627 ger DE-627 rda eng 004 DE-600 54.00 bkl Carpentieri, Bruno verfasserin (orcid)0000-0003-1960-9986 aut One-pass lossless data hiding and compression of remote sensing data 2018 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The information obtained by means of spectral remote sensing (i.e., the hyperspectral images) are involved in several real-life scenarios and applications. Historical research, monitoring of environmental hazards, forensics and counter-terrorism are some examples of contexts in which the hyperspectral data play an important role. Reversible data hiding Reversible invisible watermark Hyperspectral data hiding Hyperspectral images protection Data integrity Authentication Castiglione, Arcangelo verfasserin (orcid)0000-0002-7991-2410 aut De Santis, Alfredo verfasserin aut Palmieri, Francesco verfasserin (orcid)0000-0003-1760-5527 aut Pizzolante, Raffaele verfasserin aut Enthalten in Future generation computer systems Amsterdam [u.a.] : Elsevier Science, 1984 90, Seite 222-239 Online-Ressource (DE-627)320604284 (DE-600)2020551-X (DE-576)094399212 0167-739X nnns volume:90 pages:222-239 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 54.00 Informatik: Allgemeines AR 90 222-239 |
language |
English |
source |
Enthalten in Future generation computer systems 90, Seite 222-239 volume:90 pages:222-239 |
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Enthalten in Future generation computer systems 90, Seite 222-239 volume:90 pages:222-239 |
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The information obtained by means of spectral remote sensing (i.e., the hyperspectral images) are involved in several real-life scenarios and applications. Historical research, monitoring of environmental hazards, forensics and counter-terrorism are some examples of contexts in which the hyperspectral data play an important role. |
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The information obtained by means of spectral remote sensing (i.e., the hyperspectral images) are involved in several real-life scenarios and applications. Historical research, monitoring of environmental hazards, forensics and counter-terrorism are some examples of contexts in which the hyperspectral data play an important role. |
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The information obtained by means of spectral remote sensing (i.e., the hyperspectral images) are involved in several real-life scenarios and applications. Historical research, monitoring of environmental hazards, forensics and counter-terrorism are some examples of contexts in which the hyperspectral data play an important role. |
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