Based on the authors' research, this book introduces the main processing techniques in hyperspectral imaging. 1 Paperback 15 Illustrations, color; 106 Illustrations, black and white; XVII, 315 p. 121 illus., 15 illus. in color.
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.
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