A Symmetric Sparse Representation Based Band Selection Method for Hyperspectral Imagery Classification
A novel Symmetric Sparse Representation (SSR) method has been presented to solve the band selection problem in hyperspectral imagery (HSI) classification. The method assumes that the selected bands and the original HSI bands are sparsely represented by each other, i.e., symmetrically represented. Th...
| الحاوية / القاعدة: | Remote Sensing |
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| المؤلفون الرئيسيون: | , , , |
| التنسيق: | مقال |
| اللغة: | الإنجليزية |
| منشور في: |
MDPI AG
2016-03-01
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://www.mdpi.com/2072-4292/8/3/238 |