Can I read Dimensionality Reduction and Compression Technique of HSI on EtoBox?

Dimensionality Reduction and Compression Technique of HSI by Wang, Liguo; Zhao, Chunhui is a scholarly article available to read on EtoBox.

What is Dimensionality Reduction and Compression Technique of HSI about?

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.

Author

Wang, Liguo; Zhao, Chunhui

Publisher

Springer Berlin Heidelberg

Published

2016

Language

EN

ISBN

9783662474563