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This book explains in a didactic way the basic concepts of spectral mixing, digital numbers and orbital sensors, and then presents the linear modelling technique of spectral mixing and the generation of fractional images. In addition to presenting a theoretical basis for spectral mixing, the book provides examples of practical applications such as projects for estimating and monitoring deforested areas in the Amazon. In its seven chapters, the book offers remote sensing techniques to understand the main concepts, methods, and limitations of spectral mixing for digital image processing.
Autorius: | Flávio Jorge Ponzoni, Yosio Edemir Shimabukuro, |
Serija: | Springer Remote Sensing/Photogrammetry |
Leidėjas: | Springer Nature Switzerland |
Išleidimo metai: | 2018 |
Knygos puslapių skaičius: | 96 |
ISBN-10: | 3030020169 |
ISBN-13: | 9783030020163 |
Formatas: | 241 x 160 x 11 mm. Knyga kietu viršeliu |
Kalba: | Anglų |
Parašykite atsiliepimą apie „Spectral Mixture for Remote Sensing: Linear Model and Applications“