Comparison of support vector machine, neural network, and CART algorithms for the land-cover classification using limited training data points
Support vector machine (SVM) was applied for land-cover characterization using MODIS time-series data. Classification performance was examined with respect to training sample size, sample variability, and landscape homogeneity (purity). The results were compared to two conventional nonparametric ima...
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Veröffentlicht in: | ISPRS journal of photogrammetry and remote sensing 2012-06, Vol.70, p.78-87 |
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Format: | Artikel |
Sprache: | eng |
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