Spectral-Spatial Classification of Hyperspectral Remote Sensing Images

by Jon Atli Benediktsson, Pedram Ghamisi

Overview

This comprehensive new resource presents recent developments in the classification of hyperspectral images using both spectral and spatial information, including advanced statistical approaches and methods. The inclusion of spatial information to traditional approaches for hyperspectral classification has been one of the most active and relevant innovative lines of research in remote sensing during recent years. This book gives insight into several important challenges when performing hyperspectral image classification related to the imbalance between high dimensionality and limited availability of training samples, or the presence of mixed pixels in the data. This book also shows the reader how to integrate spatial and spectral information in order to take advantage of the benefits that both sources of information provide.

Product Details

ISBN-13:	9781608078127
Publisher:	Artech House, Incorporated
Publication date:	08/28/2015
Pages:	284
Product dimensions:	6.30(w) x 9.30(h) x 0.90(d)

About the Author

Jon Atli Benediktsson is currently Pro-Rector of Science and Academic Affairs and Professor of Electrical and Computer Engineering at the University of Iceland, Reykjavik, Iceland. He received the Cand.Sci. degree in Electrical Engineering from the University of Iceland, Reykjavik, in 1984, and the M.S.E.E. and Ph.D. degrees in Electrical Engineering from Purdue University, West Lafayette, Indiana, USA in 1987 and 1990.

Pedram Ghamisi graduated with a B.Sc. degree in Civil (Survey) Engineering from the Tehran South Campus of Azad University. He also received his M. Sc. Degree with first Class Honors in Remote Sensing at KN Toosi University of Technology in 2012.

Table of Contents

Introduction; Classification Approaches; Feature Reduction; Spatial information extraction using segmentation; Morphological Profile (MP); Attribute Profiles; Conclusion and Future Works; Appendix