Integration of spectral information into support vector machine for land cover classification
Support vector machines (SVM) have been widely used for classification purposes. These learning machines are based on classification of data through a kernel function. Classically these kernel functions are either based the Euclidean distance of two data vectors or their dot products. This is a gene...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit UTM Press,
2007-12.
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| Subjects: | |
| Online Access: | Get fulltext |