tetox Posted January 9, 2020 Share #1 Posted January 9, 2020 Hidden Content Give reaction to this post to see the hidden content. Book: Optical Satellite Signal Processing and Enhancement Author(s): Shen-En Qian. Publisher: SPIE Press Tags: Optical Sensors, Satellite Data Compression, Satellite Data Applications Year: 1st Edition (November 18, 2013) Print Length: 544 pages Format: PDF (True) Language: English ISBN-10: 0819493287 ISBN-13: 9780819493286 Size: 25.5 MB (RAR) Book Description This book provides a global review of optical satellite image and data compression theories, algorithms, and system implementations. Consisting of nine chapters, it describes a variety of lossless and near-lossless data-compression techniques and three international satellite-data-compression standards. The author shares his firsthand experience and research results in developing novel satellite-data-compression techniques for both onboard and on-ground use, user assessments of the impact that data compression has on satellite data applications, building hardware compression systems, and optimizing and deploying systems. Written with both postgraduate students and advanced professionals in mind, this handbook addresses important issues of satellite data compression and implementation, and it presents an end-to-end treatment of data compression technology. Table of Contents Description Introduction 01 Spaceborne Optical Sensors 02 Satellite Data Generation and Product Levels 03 Satellite Data and Image Quality Metrics 04 Satellite Data Compression 05 Satellite Data Formatting and Packetization 06 Channel Coding 07 Calibration of Optical Sensors 08 Keystone and Smile Measurement and Correction 09 Multisensor Image Fusion 10 Enhancing the Spatial Resolution of a Satellite by Exploiting the Sensor’s Keystone Distortion 11 Increasing the Signal-to-Noise Ratio of Satellite Sensors Using Digital Denoising 12 Small-Target Detection of Hyperspectral Images after Noise Reduction 13 Dimensionality Reduction of Hyperspectral Imagery 14 Fast Endmember Extraction Based on the Geometry of the Datacube Hidden Content Give reaction to this post to see the hidden content. Thanks to the one who initially shared the file. 1 Link to comment
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