Hyperspectral Image Processing
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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; 1st ed. 2016 edition (July 21, 2015)
Language: English
ISBN-10: 3662474557
ISBN-13: 978-3662474556
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; 1st ed. 2016 edition (July 21, 2015)
Language: English
ISBN-10: 3662474557
ISBN-13: 978-3662474556
(ID 280636454)
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