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Atmospheric correction of moderate- and high-resolution satellite imagery / Alain Sei.
- Format:
- Book
- Author/Creator:
- Sei, Alain, author.
- Series:
- SPIE spotlight ; SL49.
- SPIE digital library
- SPIE. Spotlight ; SL49
- Language:
- English
- Subjects (All):
- Image processing--Mathematical models.
- Image processing.
- Artificial satellites in remote sensing.
- Genre:
- Electronic books.
- Physical Description:
- 1 online resource (viii, 54 pages).
- Place of Publication:
- Bellingham, Washington : SPIE, 2019.
- System Details:
- Mode of access: World Wide Web.
- text file
- Summary:
- 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.
- 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.
- Notes:
- "SPIE Digital Library."--Website.
- Includes bibliographical references.
- Title from PDF title page (SPIE eBooks Website, viewed 2019-05-03).
- ISBN:
- 9781510628304
- OCLC:
- 1100911754
- Access Restriction:
- Restricted for use by site license.
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