Hyperspectral Image Processing

✍ Scribed by Liguo Wang, Chunhui Zhao (auth.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2016
• Tongue: English
• Leaves: 327
• Edition: 1
• Category: Library

✦ Synopsis

Based on the authors’ research, this book introduces the main processing techniques in hyperspectral imaging. In this context, SVM-based classification, distance comparison-based endmember extraction, SVM-based spectral unmixing, spatial attraction model-based sub-pixel mapping and MAP/POCS-based super-resolution reconstruction are discussed in depth. Readers will gain a comprehensive understanding of these cutting-edge hyperspectral imaging techniques. Researchers and graduate students in fields such as remote sensing, surveying and mapping, geosciences and information systems will benefit from this valuable resource.

✦ Table of Contents

Front Matter....Pages i-xvii
Basic Theory and Main Processing Techniques of Hyperspectral Remote Sensing....Pages 1-44
Classification Technique for HSI....Pages 45-77
Endmember Extraction Technique of HSI....Pages 79-104
Spectral Unmixing Technique of HSI....Pages 105-145
Subpixel Mapping Technique of HSI....Pages 147-185
Super-Resolution Technique of HSI....Pages 187-216
Anomaly Detection Technique of HSI....Pages 217-256
Dimensionality Reduction and Compression Technique of HSI....Pages 257-281
Introduction of Hyperspectral Remote Sensing Applications....Pages 283-308
Back Matter....Pages 309-315

✦ Subjects

Signal, Image and Speech Processing; Image Processing and Computer Vision; Remote Sensing/Photogrammetry