基于Dempster-Shafer证据理论的多光谱/高光谱图像目标分类方法

The 10th International Conference on Digital Technologies 2014 Pub Date : 2014-07-09 DOI:10.1109/DT.2014.6868729

M. Popov, Maxim V. Topolnitskiy

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引用次数: 2

摘要

提出了基于Dempster-Shafer证据理论的多光谱/高光谱图像目标分类算法。该算法不仅可以检测单独的类，还可以检测它们的组成，即考虑到中等空间分辨率图像中固有的“混合”像素。

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A Dempster-Shafer evidence theory-based approach to object classification on multispectral/hyperspectral images

The algorithm for object classification on multispectral/hyperspectral images based on the Dempster-Shafer evidence theory is represented. The algorithm allows detecting not only separate classes but also their composition, i.e. takes into account the “mixed” pixels inherent in the presence of medium spatial resolution images.

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The 10th International Conference on Digital Technologies 2014

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