Hedges detection using local directional features and support vector data description

Hedges detection using local directional features and support vector data description
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使用局部方向特征和支持向量数据描述的树篱检测

DOI:
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发表时间:
2012
期刊:
IEEE International Geoscience and Remote Sensing Symposium
影响因子:
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通讯作者:
J. Benediktsson
J. Benediktsson
中科院分区:
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文献类型:
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作者:
M. Fauvel;D. Sheeren;J. Chanussot;J. Benediktsson

文献摘要

被引文献

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The detection of hedges in very high spatial resolution remote sensing image is discussed in the paper. A spatial-spectral detector is proposed. The spatial information is modeled per pixel as the local orientation of the structure to which the pixel belongs. The local orientation is computed from the morphological directional profile built with a series of linear openings in several directions. These features are used as inputs to a support vector data description, a detection algorithm. Experimental results on a real satellite image show that the local orientation helps in discriminating hedges from other woody elements, which is not possible using the spectral information only.