554 pgs, 2013, Spie

ISBN 978-0819493286

This book gives a global review of optical satellite signal processing theories, algorithms, and system implementations. Consisting of 14 chapters, it describes a variety of spaceborne optical sensors and their performance measurements. The author shares with readers his firsthand experience and research outcomes in developing novel signal processing solutions to handle satellite data and to enhance the satellite sensor performance and the know-how for optical satellite data generation, onboard data compression, and its implementation strategy, data formatting, channel coding, calibration, and various signal processing technologies. Written with both postgraduate students and advanced professionals in mind, this useful monograph addresses the current lack of literature about satellite-based optical imaging and presents a rigorous treatment of the broad array of technologies involved in the field.

Table of Contents

Ch. 1: Spaceborne Optical Sensors

Ch. 2: Satellite Data Generation and Product Levels

Ch. 3: Satellite Data and Image Quality Metrics

Ch. 4: Satellite Data Compression

Ch. 5: Satellite Data Formatting and Packetization

Ch. 6: Channel Coding

Ch. 7: Calibration of Optical Sensors

Ch. 8: Keystone and Smile Measurement and Correction

Ch. 9: Multisensor Image Fusion

Ch. 10: Enhancing the Spatial Resolution of a Satellite by Exploiting the Sensor's Keystone Distortion

Ch. 11: Increasing the Signal-to-Noise Ratio of Satellite Sensors Using Digital Denoising

Ch. 12: Small-Target Detection of Hyperspectral Images after Noise Reduction

Ch. 13: Dimensionality Reduction of Hyperspectral Imagery

Ch. 14: Fast Endmember Extraction Based on the Geometry of the Datacube