Article ID Journal Published Year Pages File Type
6856942 Information Sciences 2018 24 Pages PDF
Abstract
In an experimental study, we adopt a support vector machine (SVM) classifier as the kernel classifier to obtain the posterior probabilities using dimensionally reduced data. The proposed method is compared with several other methods from various perspectives. Simulation experiments run on several real hyperspectral data sets are reported. The results show that the proposed method performs better than other comparable classification algorithms, especially in a condition-constrained environment.
Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
Authors
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