Hyperspectral image processing
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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| Main Authors: | , |
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| Format: | Texto biblioteca |
| Language: | eng |
| Published: |
New York, New York, United States Springer Berlin Heidelberg
2015
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| Subjects: | Sensores remotos, Imaginería hiperespectral, Procesamiento de imágenes, |
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