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.
Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Number of pages: 315
Weight: 6878 g
Dimensions: 235 x 155 x 24 mm
Edition: 1st ed. 2016
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