Multispectral image classification using generalized Fully Constrained Least Squares approach

Ren Jie Yang, Hsuan Ren

研究成果: 書貢獻/報告類型會議論文篇章同行評審

2 引文 斯高帕斯(Scopus)

摘要

Fully Constrained Least Squares (FCLS) has been widely used and proven to be a powerful tool for hyperspectral image classification. But for multispectral remote sensing images with only a few bands, the Least-Squares based approaches will all encounter the band number constraint (BNC), which requires the number of bands should be no less than the number of classes. In this paper, we proposed a generalization of the FCLS called generalized FCLS (GFCLS) that relaxes this constraint in such a manner that the FCLS can be extended to multispectral image processing in a supervised fashion. The idea of the GFCLS is to create a new set of additional bands that are generated nonlinearly from original multispectral bands prior to the FCLS classification. The effectiveness of the proposed GFCLS is evaluated by SPOT-5 images. Experimental results show that the generalized FCLS (GFCLS) method outperforms the conventional FCLS approach for multispectral imagery classification.

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主出版物標題29th Asian Conference on Remote Sensing 2008, ACRS 2008
頁面1698-1703
頁數6
出版狀態已出版 - 2008
事件29th Asian Conference on Remote Sensing 2008, ACRS 2008 - Colombo, Sri Lanka
持續時間: 10 11月 200814 11月 2008

出版系列

名字29th Asian Conference on Remote Sensing 2008, ACRS 2008
3

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???event.eventtypes.event.conference???29th Asian Conference on Remote Sensing 2008, ACRS 2008
國家/地區Sri Lanka
城市Colombo
期間10/11/0814/11/08

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