Hyperspectral Image Processing - Chunhui Zhao,Liguo Wang
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Piegāde 15-21 darba dienu laikā
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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 ... Pilns apraksts
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Aprašymas
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.
Vairāk informācijas
| Autors | Chunhui Zhao, Liguo Wang |
|---|---|
| Izdevējs | Springer Berlin Heidelberg |
| Izlaides gads | 2016 |
| Vāka tips | Mīkstais vāks |
| EAN | 9783662516140 |