Customizing kernel functions for SVM-based hyperspectral image classification
Previous research applying kernel methods such as support vector machines (SVMs) to hyperspectral image classification has achieved performance competitive with the best available algorithms. However, few efforts have been made to extend SVMs to cover the specific requirements of hyperspectral image...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
2008.
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| Subjects: | |
| Online Access: | Get fulltext |