INFORMATION EXTRACTION PRINCIPLES AND METHODS FOR MULTISPECTRAL AND HYPERSPECTRAL IMAGE DATA

Abstract

However, permission to reprint/republish this material for advertising or promotional purposes or for creating other new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from David Landgrebe and the World Scientific Publishing Company. This work was originally prepared for and appears in Informat ion Process ing for Remote Sens ing , edited by C. H. Chen, published by the World Scientific Publishing Co., Inc., 1060 Main Street, River Edge, NJ 07661, USA (Spring, 1999). In addition to general works such as this one, this book contains sections on Pattern Recognition, SAR Image Processing and Segmentation, Parameter Extraction, Neural Network and Fuzzy Logic Methods, Change Detection, Knowledge-based Methods and Data Fusion, Image Processing Algorithms including wavelet analysis techniques, Image Compression, and Discrimination of Buried Objects. Information Extraction Principles and Methods for Multispectral and Hyperspectral Image Data David Landgrebe School of Electrical & Computer Engineering Purdue University, West Lafayette, IN 47907-1285 Voice: 765-494-3486 Fax: 765-494-3358 landgreb@ecn.purdue.edu