Atmospheric correction of moderate- and high-resolution satellite imagery
This Spotlight provides a comprehensive overview of atmospheric correction techniques used for the exploitation of satellite imagery over land surfaces. It starts with radiative transfer theory, then derives computationally efficient atmospheric correction algorithms, and finally surveys application...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
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Bellingham, Washington, USA
SPIE Press
2019
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| Schriftenreihe: | SPIE spotlight series
vol. SL49 |
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| Online-Zugang: | DE-1050 URL des Erstveröffentlichers |
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| 100 | 1 | |a Sei, Alain |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Atmospheric correction of moderate- and high-resolution satellite imagery |c by Alain Sei |
| 264 | 1 | |a Bellingham, Washington, USA |b SPIE Press |c 2019 | |
| 300 | |a 1 Online-Ressource (viii, 55 Seiten) | ||
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| 505 | 8 | |a Preface -- 1. Introduction -- 2. From the radiative transfer equation to Chandrasekhar’s formula: 2.1. Introduction; 2.2. Derivation of the exact solution; 2.3. Diffuse radiance: sum of atmospheric and surface radiances -- 3. Atmospheric correction based on Chandrasekhar’s formula: 3.1. Atmospheric constituents and their impacts on satellite measurements; 3.2. Standard atmospheric correction based on Chandrasekhar’s formula; 3.3. Aerosol retrieval assumptions about surface reflectance; 3.4. Standard atmospheric correction extension for pressure variation -- 4. Adjacency effects and their mitigation: 4.1. Introduction; 4.2. Adjacency problem based on the point spread function; 4.3. Neumann series, analytic continuation, and Padé approximants; 4.4. Examples of applications -- 5. Applications of atmospheric correction: 5.1. Derived gridded land products: albedo and vegetation index -- 6. Conclusions -- 7. Appendix A: Notations -- 8. Appendix B: Closed form solution derivation -- References | |
| 520 | |a This Spotlight provides a comprehensive overview of atmospheric correction techniques used for the exploitation of satellite imagery over land surfaces. It starts with radiative transfer theory, then derives computationally efficient atmospheric correction algorithms, and finally surveys applications of these algorithms through derived gridded land products, such as vegetation index or albedo products | ||
| 650 | 4 | |a Image processing / Mathematical models | |
| 650 | 4 | |a Artificial satellites in remote sensing | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe, epub |z 978-1-5106-2831-1 |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe, mobi |z 978-1-5106-2832-8 |
| 856 | 4 | 0 | |u https://doi.org/10.1117/3.2533493 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
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| 966 | e | |u https://doi.org/10.1117/3.2533493 |l DE-1050 |p ZDB-50-SPI |x Verlag |3 Volltext | |
Datensatz im Suchindex
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| any_adam_object | |
| author | Sei, Alain |
| author_facet | Sei, Alain |
| author_role | aut |
| author_sort | Sei, Alain |
| author_variant | a s as |
| building | Verbundindex |
| bvnumber | BV045908641 |
| collection | ZDB-50-SPI |
| contents | Preface -- 1. Introduction -- 2. From the radiative transfer equation to Chandrasekhar’s formula: 2.1. Introduction; 2.2. Derivation of the exact solution; 2.3. Diffuse radiance: sum of atmospheric and surface radiances -- 3. Atmospheric correction based on Chandrasekhar’s formula: 3.1. Atmospheric constituents and their impacts on satellite measurements; 3.2. Standard atmospheric correction based on Chandrasekhar’s formula; 3.3. Aerosol retrieval assumptions about surface reflectance; 3.4. Standard atmospheric correction extension for pressure variation -- 4. Adjacency effects and their mitigation: 4.1. Introduction; 4.2. Adjacency problem based on the point spread function; 4.3. Neumann series, analytic continuation, and Padé approximants; 4.4. Examples of applications -- 5. Applications of atmospheric correction: 5.1. Derived gridded land products: albedo and vegetation index -- 6. Conclusions -- 7. Appendix A: Notations -- 8. Appendix B: Closed form solution derivation -- References |
| ctrlnum | (OCoLC)1104873203 (DE-599)BVBBV045908641 |
| doi_str_mv | 10.1117/3.2533493 |
| format | Electronic eBook |
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| id | DE-604.BV045908641 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-24T07:32:53Z |
| institution | BVB |
| isbn | 9781510628304 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031291302 |
| oclc_num | 1104873203 |
| open_access_boolean | |
| owner | DE-1050 |
| owner_facet | DE-1050 |
| physical | 1 Online-Ressource (viii, 55 Seiten) |
| psigel | ZDB-50-SPI |
| publishDate | 2019 |
| publishDateSearch | 2019 |
| publishDateSort | 2019 |
| publisher | SPIE Press |
| record_format | marc |
| series2 | SPIE spotlight series |
| spelling | Sei, Alain Verfasser aut Atmospheric correction of moderate- and high-resolution satellite imagery by Alain Sei Bellingham, Washington, USA SPIE Press 2019 1 Online-Ressource (viii, 55 Seiten) txt rdacontent c rdamedia cr rdacarrier SPIE spotlight series vol. SL49 Preface -- 1. Introduction -- 2. From the radiative transfer equation to Chandrasekhar’s formula: 2.1. Introduction; 2.2. Derivation of the exact solution; 2.3. Diffuse radiance: sum of atmospheric and surface radiances -- 3. Atmospheric correction based on Chandrasekhar’s formula: 3.1. Atmospheric constituents and their impacts on satellite measurements; 3.2. Standard atmospheric correction based on Chandrasekhar’s formula; 3.3. Aerosol retrieval assumptions about surface reflectance; 3.4. Standard atmospheric correction extension for pressure variation -- 4. Adjacency effects and their mitigation: 4.1. Introduction; 4.2. Adjacency problem based on the point spread function; 4.3. Neumann series, analytic continuation, and Padé approximants; 4.4. Examples of applications -- 5. Applications of atmospheric correction: 5.1. Derived gridded land products: albedo and vegetation index -- 6. Conclusions -- 7. Appendix A: Notations -- 8. Appendix B: Closed form solution derivation -- References This Spotlight provides a comprehensive overview of atmospheric correction techniques used for the exploitation of satellite imagery over land surfaces. It starts with radiative transfer theory, then derives computationally efficient atmospheric correction algorithms, and finally surveys applications of these algorithms through derived gridded land products, such as vegetation index or albedo products Image processing / Mathematical models Artificial satellites in remote sensing Erscheint auch als Online-Ausgabe, epub 978-1-5106-2831-1 Erscheint auch als Online-Ausgabe, mobi 978-1-5106-2832-8 https://doi.org/10.1117/3.2533493 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Sei, Alain Atmospheric correction of moderate- and high-resolution satellite imagery Preface -- 1. Introduction -- 2. From the radiative transfer equation to Chandrasekhar’s formula: 2.1. Introduction; 2.2. Derivation of the exact solution; 2.3. Diffuse radiance: sum of atmospheric and surface radiances -- 3. Atmospheric correction based on Chandrasekhar’s formula: 3.1. Atmospheric constituents and their impacts on satellite measurements; 3.2. Standard atmospheric correction based on Chandrasekhar’s formula; 3.3. Aerosol retrieval assumptions about surface reflectance; 3.4. Standard atmospheric correction extension for pressure variation -- 4. Adjacency effects and their mitigation: 4.1. Introduction; 4.2. Adjacency problem based on the point spread function; 4.3. Neumann series, analytic continuation, and Padé approximants; 4.4. Examples of applications -- 5. Applications of atmospheric correction: 5.1. Derived gridded land products: albedo and vegetation index -- 6. Conclusions -- 7. Appendix A: Notations -- 8. Appendix B: Closed form solution derivation -- References Image processing / Mathematical models Artificial satellites in remote sensing |
| title | Atmospheric correction of moderate- and high-resolution satellite imagery |
| title_auth | Atmospheric correction of moderate- and high-resolution satellite imagery |
| title_exact_search | Atmospheric correction of moderate- and high-resolution satellite imagery |
| title_full | Atmospheric correction of moderate- and high-resolution satellite imagery by Alain Sei |
| title_fullStr | Atmospheric correction of moderate- and high-resolution satellite imagery by Alain Sei |
| title_full_unstemmed | Atmospheric correction of moderate- and high-resolution satellite imagery by Alain Sei |
| title_short | Atmospheric correction of moderate- and high-resolution satellite imagery |
| title_sort | atmospheric correction of moderate and high resolution satellite imagery |
| topic | Image processing / Mathematical models Artificial satellites in remote sensing |
| topic_facet | Image processing / Mathematical models Artificial satellites in remote sensing |
| url | https://doi.org/10.1117/3.2533493 |
| work_keys_str_mv | AT seialain atmosphericcorrectionofmoderateandhighresolutionsatelliteimagery |