Abstract: In this article, we present a method of enhancing the SVM classification of hyperspectral data with the use of three supporting classifiers.
In this article, we present a method of enhancing the SVM classification of hyperspectral data with the use of three supporting classifiers. It is done by ...
A method of enhancing the SVM classification of hyperspectral data with the use of three supporting classifiers by applying the fully trained classifiers on ...
... classification: firstly the L 1 - SVM is used for feature selection and then L 2 - SVM is used for final classification based on selected features. So the ...
In this article, we present a method of enhancing the SVM classification of hyperspectral data with the use of three supporting classifiers.
This paper proposes a new method for tumor classification using gene expression data, which mainly contains three steps. Firstly, the original DNA microarray ...
Multiple classifier systems can be used to improve classification accuracy in remote sensing data sets. (Benediktsson and Kanellopoulos 1999). The first step of ...
Jun 3, 2018 · This paper proposes a novel two-stage method for the classification of hyperspectral images. Pixel-wise classifiers, such as the classical ...
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This paper presents a new method for classification of hyperspectral data based on a band clustering strategy through a multiple Support Vector Machine system.
Jun 3, 2018 · This paper proposes a novel two-stage method for the classification of hyperspectral im- ages. Pixel-wise classifiers, such as the classical ...