中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Improved discrete swarm intelligence algorithms for endmember extraction from hyperspectral remote sensing images

文献类型:期刊论文

作者Su, Yuanchao1; Sun, Xu1; Gao, Lianru1; Li, Jun1; Zhang, Bing1
刊名Journal of Applied Remote Sensing
出版日期2016
卷号10期号:4
通讯作者Gao, Lianru (gaolr@radi.ac.cn)
英文摘要Endmember extraction is a key step in hyperspectral unmixing. A new endmember extraction framework is proposed for hyperspectral endmember extraction. The proposed approach is based on the swarm intelligence (SI) algorithm, where discretization is used to solve the SI algorithm because pixels in a hyperspectral image are naturally defined within a discrete space. Moreover, a "distance" factor is introduced into the objective function to limit the endmember numbers which is generally limited in real scenarios, while traditional SI algorithms likely produce superabundant spectral signatures, which generally belong to the same classes. Three endmember extraction methods are proposed based on the artificial bee colony, ant colony optimization, and particle swarm optimization algorithms. Experiments with both simulated and real hyperspectral images indicate that the proposed framework can improve the accuracy of endmember extraction. © 2016 Society of Photo-Optical Instrumentation Engineers (SPIE).
收录类别EI
语种英语
WOS记录号WOS:20164803062529
源URL[http://ir.radi.ac.cn/handle/183411/39644]  
专题遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位1. Sun Yat-Sen University, School of Geography and Planning, Guangzhou
2.510275, China
3. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing
4.100094, China
推荐引用方式
GB/T 7714
Su, Yuanchao,Sun, Xu,Gao, Lianru,et al. Improved discrete swarm intelligence algorithms for endmember extraction from hyperspectral remote sensing images[J]. Journal of Applied Remote Sensing,2016,10(4).
APA Su, Yuanchao,Sun, Xu,Gao, Lianru,Li, Jun,&Zhang, Bing.(2016).Improved discrete swarm intelligence algorithms for endmember extraction from hyperspectral remote sensing images.Journal of Applied Remote Sensing,10(4).
MLA Su, Yuanchao,et al."Improved discrete swarm intelligence algorithms for endmember extraction from hyperspectral remote sensing images".Journal of Applied Remote Sensing 10.4(2016).

入库方式: OAI收割

来源:遥感与数字地球研究所

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