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Remote Sensing: Methods and Models for Image Processing – A Comprehensive Guide for Students and Professionals
This classic textbook offers a systematic overview of modern remote sensing methods and satellite image processing. It covers imaging systems from NASA’s latest Terra, Aqua, and EO-1 satellites, as well as commercial platforms like IKONOS and Quickbird. The book includes detailed material on atmospheric and MTF correction, sensor spatial sensitivity, noise reduction techniques, and algorithms for hyperspectral image registration.
Updated with over 15 new exercises, 16 color illustrations, and more than 40 figures, a significant portion is devoted to current topics such as hyperspectral data analysis, mixed pixel decomposition, and stereoscopic image use for digital elevation model generation. Detailed descriptions of data processing algorithms and numerous examples help readers understand the relationship between imaging system characteristics and the information extractable from satellite imagery. Each chapter concludes with exercises to reinforce learning.
Intended for students, educators, engineers, and researchers involved in developing and implementing remote sensing data processing systems.