Field guide to hyperspectral/multispectral image processing:
"Hyper/multispectral imagery in optical remote sensing is an extension of color RGB pictures. The utilized wavelength range is beyond the visible, up to the reflective shortwave infrared. Hyperspectral imaging offers higher spectral resolution, leading to many wavebands. The spectral profiles r...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Bellingham, Washington, USA
SPIE Press
[2022]
|
| Schriftenreihe: | SPIE field guides
Volume FG52 |
| Schlagworte: | |
| Online-Zugang: | FHD01 UER01 URL des Erstveröffentlichers |
| Zusammenfassung: | "Hyper/multispectral imagery in optical remote sensing is an extension of color RGB pictures. The utilized wavelength range is beyond the visible, up to the reflective shortwave infrared. Hyperspectral imaging offers higher spectral resolution, leading to many wavebands. The spectral profiles recorded reveal reflected solar radiation from the Earth surface materials when the sensor is mounted on an airborne or spaceborne platform. An inverse process using machine-learning approaches is conducted for target detection, material identification, and associated environmental applications, which is the main purpose of remote sensing. This Field Guide covers three areas: the fundamentals of remote sensing imaging for image understanding; image processing for correction and quality improvement; and image analysis for information extraction at subpixel, pixel, superpixel, and image levels, including feature mining and reduction. Basic concepts and fundamental understanding are emphasized to prepare the reader for exploring advanced methods"-- |
| Beschreibung: | 1 Online-Ressource (xiv, 103 Seiten) |
| DOI: | 10.1117/3.2625662 |
Internformat
MARC
| LEADER | 00000nmm a2200000 cb4500 | ||
|---|---|---|---|
| 001 | BV048283522 | ||
| 003 | DE-604 | ||
| 005 | 20220725 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 220610s2022 |||| o||u| ||||||eng d | ||
| 020 | |z 9781510652156 |c pdf |9 978-1-5106-5215-6 | ||
| 035 | |a (OCoLC)1334048526 | ||
| 035 | |a (DE-599)BVBBV048283522 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-1050 |a DE-29 | ||
| 100 | 1 | |a Jia, Xiuping |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Field guide to hyperspectral/multispectral image processing |c Xiuping Jia |
| 246 | 1 | 3 | |a Hyperspectral/multispectral image processing |
| 264 | 1 | |a Bellingham, Washington, USA |b SPIE Press |c [2022] | |
| 300 | |a 1 Online-Ressource (xiv, 103 Seiten) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 1 | |a SPIE field guides |v Volume FG52 | |
| 505 | 8 | |a Optical remote sensing -- Image data correction -- Image radiometric enhancement and display -- Image geometric enhancement -- Hyperspectral image data representation -- Image clustering and segmentation -- Handling limited numbers of training samples -- Feature reduction -- Incorporation of spatial information in pixel classification -- Subpixel analysis -- Artificial neural networks and deep learning with CNNs -- Multitemporal Earth observation -- Classification accuracy assessment | |
| 520 | |a "Hyper/multispectral imagery in optical remote sensing is an extension of color RGB pictures. The utilized wavelength range is beyond the visible, up to the reflective shortwave infrared. Hyperspectral imaging offers higher spectral resolution, leading to many wavebands. The spectral profiles recorded reveal reflected solar radiation from the Earth surface materials when the sensor is mounted on an airborne or spaceborne platform. An inverse process using machine-learning approaches is conducted for target detection, material identification, and associated environmental applications, which is the main purpose of remote sensing. This Field Guide covers three areas: the fundamentals of remote sensing imaging for image understanding; image processing for correction and quality improvement; and image analysis for information extraction at subpixel, pixel, superpixel, and image levels, including feature mining and reduction. Basic concepts and fundamental understanding are emphasized to prepare the reader for exploring advanced methods"-- | ||
| 650 | 4 | |a Hyperspectral imaging | |
| 650 | 4 | |a Multispectral imaging | |
| 650 | 4 | |a Image processing / Digital techniques | |
| 650 | 4 | |a Remote sensing | |
| 650 | 4 | |a Remote Sensing Technology | |
| 650 | 4 | |a Imagerie multispectrale | |
| 650 | 4 | |a Traitement d'images / Techniques numériques | |
| 650 | 4 | |a Télédétection | |
| 650 | 7 | |a multispectral imaging |2 aat | |
| 650 | 7 | |a digital imaging |2 aat | |
| 650 | 7 | |a Hyperspectral imaging |2 fast | |
| 650 | 7 | |a Image processing / Digital techniques |2 fast | |
| 650 | 7 | |a Multispectral imaging |2 fast | |
| 650 | 7 | |a Remote sensing |2 fast | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe, spiral bound |z 978-1-5106-5214-9 |
| 830 | 0 | |a SPIE field guides |v Volume FG52 |w (DE-604)BV041885814 |9 52 | |
| 856 | 4 | 0 | |u https://doi.org/10.1117/3.2625662 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-50-SPI | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-033663681 | ||
| 966 | e | |u https://doi.org/10.1117/3.2625662 |l FHD01 |p ZDB-50-SPI |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1117/3.2625662 |l UER01 |p ZDB-50-SPI |q UER_Paketkauf |x Verlag |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1804184110350991360 |
|---|---|
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author | Jia, Xiuping |
| author_facet | Jia, Xiuping |
| author_role | aut |
| author_sort | Jia, Xiuping |
| author_variant | x j xj |
| building | Verbundindex |
| bvnumber | BV048283522 |
| collection | ZDB-50-SPI |
| contents | Optical remote sensing -- Image data correction -- Image radiometric enhancement and display -- Image geometric enhancement -- Hyperspectral image data representation -- Image clustering and segmentation -- Handling limited numbers of training samples -- Feature reduction -- Incorporation of spatial information in pixel classification -- Subpixel analysis -- Artificial neural networks and deep learning with CNNs -- Multitemporal Earth observation -- Classification accuracy assessment |
| ctrlnum | (OCoLC)1334048526 (DE-599)BVBBV048283522 |
| doi_str_mv | 10.1117/3.2625662 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03535nmm a2200541 cb4500</leader><controlfield tag="001">BV048283522</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20220725 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">220610s2022 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">9781510652156</subfield><subfield code="c">pdf</subfield><subfield code="9">978-1-5106-5215-6</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1334048526</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV048283522</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-1050</subfield><subfield code="a">DE-29</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Jia, Xiuping</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Field guide to hyperspectral/multispectral image processing</subfield><subfield code="c">Xiuping Jia</subfield></datafield><datafield tag="246" ind1="1" ind2="3"><subfield code="a">Hyperspectral/multispectral image processing</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Bellingham, Washington, USA</subfield><subfield code="b">SPIE Press</subfield><subfield code="c">[2022]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (xiv, 103 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">SPIE field guides</subfield><subfield code="v">Volume FG52</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">Optical remote sensing -- Image data correction -- Image radiometric enhancement and display -- Image geometric enhancement -- Hyperspectral image data representation -- Image clustering and segmentation -- Handling limited numbers of training samples -- Feature reduction -- Incorporation of spatial information in pixel classification -- Subpixel analysis -- Artificial neural networks and deep learning with CNNs -- Multitemporal Earth observation -- Classification accuracy assessment</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">"Hyper/multispectral imagery in optical remote sensing is an extension of color RGB pictures. The utilized wavelength range is beyond the visible, up to the reflective shortwave infrared. Hyperspectral imaging offers higher spectral resolution, leading to many wavebands. The spectral profiles recorded reveal reflected solar radiation from the Earth surface materials when the sensor is mounted on an airborne or spaceborne platform. An inverse process using machine-learning approaches is conducted for target detection, material identification, and associated environmental applications, which is the main purpose of remote sensing. This Field Guide covers three areas: the fundamentals of remote sensing imaging for image understanding; image processing for correction and quality improvement; and image analysis for information extraction at subpixel, pixel, superpixel, and image levels, including feature mining and reduction. Basic concepts and fundamental understanding are emphasized to prepare the reader for exploring advanced methods"--</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Hyperspectral imaging</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Multispectral imaging</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Image processing / Digital techniques</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Remote sensing</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Remote Sensing Technology</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Imagerie multispectrale</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Traitement d'images / Techniques numériques</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Télédétection</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">multispectral imaging</subfield><subfield code="2">aat</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">digital imaging</subfield><subfield code="2">aat</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Hyperspectral imaging</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Image processing / Digital techniques</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Multispectral imaging</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Remote sensing</subfield><subfield code="2">fast</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe, spiral bound</subfield><subfield code="z">978-1-5106-5214-9</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">SPIE field guides</subfield><subfield code="v">Volume FG52</subfield><subfield code="w">(DE-604)BV041885814</subfield><subfield code="9">52</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1117/3.2625662</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-50-SPI</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-033663681</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1117/3.2625662</subfield><subfield code="l">FHD01</subfield><subfield code="p">ZDB-50-SPI</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1117/3.2625662</subfield><subfield code="l">UER01</subfield><subfield code="p">ZDB-50-SPI</subfield><subfield code="q">UER_Paketkauf</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV048283522 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T20:01:05Z |
| indexdate | 2024-07-10T09:34:08Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033663681 |
| oclc_num | 1334048526 |
| open_access_boolean | |
| owner | DE-1050 DE-29 |
| owner_facet | DE-1050 DE-29 |
| physical | 1 Online-Ressource (xiv, 103 Seiten) |
| psigel | ZDB-50-SPI ZDB-50-SPI UER_Paketkauf |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | SPIE Press |
| record_format | marc |
| series | SPIE field guides |
| series2 | SPIE field guides |
| spelling | Jia, Xiuping Verfasser aut Field guide to hyperspectral/multispectral image processing Xiuping Jia Hyperspectral/multispectral image processing Bellingham, Washington, USA SPIE Press [2022] 1 Online-Ressource (xiv, 103 Seiten) txt rdacontent c rdamedia cr rdacarrier SPIE field guides Volume FG52 Optical remote sensing -- Image data correction -- Image radiometric enhancement and display -- Image geometric enhancement -- Hyperspectral image data representation -- Image clustering and segmentation -- Handling limited numbers of training samples -- Feature reduction -- Incorporation of spatial information in pixel classification -- Subpixel analysis -- Artificial neural networks and deep learning with CNNs -- Multitemporal Earth observation -- Classification accuracy assessment "Hyper/multispectral imagery in optical remote sensing is an extension of color RGB pictures. The utilized wavelength range is beyond the visible, up to the reflective shortwave infrared. Hyperspectral imaging offers higher spectral resolution, leading to many wavebands. The spectral profiles recorded reveal reflected solar radiation from the Earth surface materials when the sensor is mounted on an airborne or spaceborne platform. An inverse process using machine-learning approaches is conducted for target detection, material identification, and associated environmental applications, which is the main purpose of remote sensing. This Field Guide covers three areas: the fundamentals of remote sensing imaging for image understanding; image processing for correction and quality improvement; and image analysis for information extraction at subpixel, pixel, superpixel, and image levels, including feature mining and reduction. Basic concepts and fundamental understanding are emphasized to prepare the reader for exploring advanced methods"-- Hyperspectral imaging Multispectral imaging Image processing / Digital techniques Remote sensing Remote Sensing Technology Imagerie multispectrale Traitement d'images / Techniques numériques Télédétection multispectral imaging aat digital imaging aat Hyperspectral imaging fast Image processing / Digital techniques fast Multispectral imaging fast Remote sensing fast Erscheint auch als Druck-Ausgabe, spiral bound 978-1-5106-5214-9 SPIE field guides Volume FG52 (DE-604)BV041885814 52 https://doi.org/10.1117/3.2625662 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Jia, Xiuping Field guide to hyperspectral/multispectral image processing SPIE field guides Optical remote sensing -- Image data correction -- Image radiometric enhancement and display -- Image geometric enhancement -- Hyperspectral image data representation -- Image clustering and segmentation -- Handling limited numbers of training samples -- Feature reduction -- Incorporation of spatial information in pixel classification -- Subpixel analysis -- Artificial neural networks and deep learning with CNNs -- Multitemporal Earth observation -- Classification accuracy assessment Hyperspectral imaging Multispectral imaging Image processing / Digital techniques Remote sensing Remote Sensing Technology Imagerie multispectrale Traitement d'images / Techniques numériques Télédétection multispectral imaging aat digital imaging aat Hyperspectral imaging fast Image processing / Digital techniques fast Multispectral imaging fast Remote sensing fast |
| title | Field guide to hyperspectral/multispectral image processing |
| title_alt | Hyperspectral/multispectral image processing |
| title_auth | Field guide to hyperspectral/multispectral image processing |
| title_exact_search | Field guide to hyperspectral/multispectral image processing |
| title_exact_search_txtP | Field guide to hyperspectral/multispectral image processing |
| title_full | Field guide to hyperspectral/multispectral image processing Xiuping Jia |
| title_fullStr | Field guide to hyperspectral/multispectral image processing Xiuping Jia |
| title_full_unstemmed | Field guide to hyperspectral/multispectral image processing Xiuping Jia |
| title_short | Field guide to hyperspectral/multispectral image processing |
| title_sort | field guide to hyperspectral multispectral image processing |
| topic | Hyperspectral imaging Multispectral imaging Image processing / Digital techniques Remote sensing Remote Sensing Technology Imagerie multispectrale Traitement d'images / Techniques numériques Télédétection multispectral imaging aat digital imaging aat Hyperspectral imaging fast Image processing / Digital techniques fast Multispectral imaging fast Remote sensing fast |
| topic_facet | Hyperspectral imaging Multispectral imaging Image processing / Digital techniques Remote sensing Remote Sensing Technology Imagerie multispectrale Traitement d'images / Techniques numériques Télédétection multispectral imaging digital imaging |
| url | https://doi.org/10.1117/3.2625662 |
| volume_link | (DE-604)BV041885814 |
| work_keys_str_mv | AT jiaxiuping fieldguidetohyperspectralmultispectralimageprocessing AT jiaxiuping hyperspectralmultispectralimageprocessing |