Multi-class classification for Wuhan area's TM image based on support vector machine
Pages 401 - 404
Abstract
This paper proposes a multi-class classification method based on Support Vector Machine (SVM), with an emphasis on classes of Wuhan area's water resources. First, this method builds a SVM model by selecting proper testing sample data of Wuhan area's TM image. Then, the image is classified as 5 classes based on the algorithm of SVM model. The experimental results show that this method has obvious advantages in accuracy, compared with the traditional method-Maximum likelihood, especially on classes of water resources.
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- Multi-class classification for Wuhan area's TM image based on support vector machine
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Published: 14 August 2009
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