Spectral Mixture for Remote Sensing Linear Model and Applications /

• Main Authors: Shimabukuro, Yosio Edemir (Author, http://id.loc.gov/vocabulary/relators/aut), Ponzoni, Flávio Jorge (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Springer Remote Sensing/Photogrammetry,
• Subjects: Remote sensing.; Physical geography.; Environmental monitoring.; Optical data processing.; Computer simulation.; Lasers.; Photonics.; Remote Sensing/Photogrammetry.; Physical Geography.; Monitoring/Environmental Analysis.; Image Processing and Computer Vision.; Simulation and Modeling.; Optics, Lasers, Photonics, Optical Devices.

This book explains in a didactic way the basic concepts of spectral mixing, digital numbers and orbital sensors, and then presents the linear modeling technique of spectral mixing and the generation of fractional images. In addition to presenting a theoretical basis for spectral mixing, the book pro...

Table of Contents:

• Chapter1: Basic concepts
• Chapter2: The origin of digital numbers (DN)
• Chapter3: Orbital sensors
• Chapter4: Linear spectral mixing model
• Chapter5: Fraction images
• Chapter6: Applications of fraction images
• Chapter7: Final considerations.