SEGMENTATION-BASED cNMF FOR HYPERSPECTRAL UNMIXING

被引：0

作者：

Alkhatib, Mohammed Q. ^{[1
]}

Velez-Reyes, Miguel ^{[1
]}

机构：

[1] Univ Texas El Paso, Dept Elect & Comp Engn, El Paso, TX 79968 USA

来源：

2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2017年

关键词：

Hyperspectral Unmixing; Spatial segmentation; Quadtree Partitioning;

D O I：

暂无

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

This paper presents a modification to the cNMF for unmixing where the image is first segmented and the cNMF is applied to individual segments for endmember extraction. Extracted spectral endmembers from individual segments are clustered in endmember classes to describe the entire image. The approach is compared with the global cNMF. The segmentation-based cNMF better captures subtle differences between spectrally similar classes. Experimental results are presented using an image chip from an AVIRIS image collected over AP Hill.

引用

页码：632 / 635

页数：4

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