THE INVESTIGATION OF SENSITIVITY OF SVM CLASSIFIER RESPECT TO THE NUMBER OF FETURES AND THE NUMBER OF TRAINING SAMPLES
Supervised classification of hyperspectral images is a difficult task due to the unbalance between the high dimensionality of the data and the limited availability of labeled training samples. Recently support vector machine (SVM), has received considerable attention for classifying high dimensional...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2013-09-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W3/209/2013/isprsarchives-XL-1-W3-209-2013.pdf |