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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-ba...
| Asıl Yazarlar: | , |
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| Müşterek Yazar: | |
| Materyal Türü: | e-Kitap |
| Dil: | İngilizce |
| Baskı/Yayın Bilgisi: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2016.
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| Edisyon: | 1st ed. 2016. |
| Konular: | |
| Online Erişim: | Full-text access OPAC'ta görüntüle |
İçindekiler:
- Basic theory and main processing techniques of hyperspectral remote sensing
- Classification technique for HSI
- Endmember extraction technique of HSI
- Spectral unmixing technique of HSI
- Sub-pixel mapping technique of HSI
- Super-resolution technique of HSI
- Anomaly detection technique of HSI
- Dimensionality reduction and compression technique of HSI
- Introduction to hyperspectral remote sensing applications.