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|Title:||Method and device for classifying remote images by integrating edge information and support vector machine||Other Titles:||融合边缘信息和支持向量机对遥感图像进行分类的方法及装置||Authors:||Shi, WZ
|Issue Date:||25-Jun-2014||Publisher:||中华人民共和国国家知识产权局||Source:||中国专利 ZL 201210003541.0 How to cite?||Abstract:||The invention relates to a method and a device for classifying remote images by integrating edge information and a support vector machine. The method includes the steps: performing pixel-wise support vector machine classification for the remote images which are subjected to preprocessing and characteristic extraction; performing edge detection for the remote images which are subjected to preprocessing and characteristic extraction so as to obtain a discontinuous one-pixel wide edge map; performing edge connection for the discontinuous one-pixel wide edge map subjected to noise edge removal so as to obtain a closed edge map; and integrating the closed edge map to a map subjected to pixel-wise support vector machine classification so as to obtain a classified result map integrating the edge information. By the aid of the method and the device, non-robustness of existing partitional-clustering-segmentation-based classification of the hyperspectral images by integrating space and spectral information is overcome, and the problem of dimensional proportion selection of common fixed-window-size-based methods such as morphology filtering by integrating the space and spectral information is solved.
|URI:||http://hdl.handle.net/10397/68763||Rights:||专利权人: The Hong Kong Polytechnic University.|
|Appears in Collections:||Patent|
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