Hyperspectral Data Processing: Algorithm Design and Analysis

1.1 Overview

Hyperspectral signal and image processing has become a fast-growing area that bridges communities of remote sensing and signal/image processing due to the fact that many problems arising in the former can be reformatted and solved by the latter. A good example is an increasing number of conferences in both communities and a wide range of publications in both signal and image processing journals and traditional remote sensing journals. Particularly, in recent years significant research and development in hyperspectral imaging has resulted in at least hundreds, if not thousands, of publications in various journals. Many new findings have been reported in many annual meetings and venues such as IEEE International Geoscience and Remote Sensing Symposia; SPIE conferences on Defense and Security (previously known as AeroSense); Algorithms and Technologies for Multispectral, Hyperspectral and Ultraspectral Imagery (annually held in April); SPIE International Symposium on Optical Science & Technology (Remote Sensing Symposium, specifically Conferences on Satellite Data Compression, Communication, and Processing and Conferences on Imaging Spectrometry, annually held in August); Conference on Imaging Spectrometry; EOS/SPIE Symposium on Remote Sensing; IEEE GRSS Workshop on Hyperspectral Image and Signal Processing–Evolution in Remote Sensing (WHISPERS); and so forth. Accordingly, any attempt to cover in a single book all possible areas in this field would be impossible and unrealistic. ...