Optical satellite signal processing and enhancement

✍ Scribed by Qian, Shen-En

• Publisher: SPIE
• Year: 2013
• Tongue: English
• Leaves: 505
• Series: SPIE monograph PM230
• Category: Library

✦ Synopsis

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

Content: Preface --
List of terms and acronyms --
1. Spaceborne optical sensors --
2. Satellite data generation and product levels --
3. Satellite data and image quality metrics --
4. Satellite data compression --
5. Satellite data formatting and packetization --
6. Channel coding --
7. Calibration of optical sensors --
8. Keystone and smile measurement and correction --
9. 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.