A novel spectrum filter for fully constrained mixture analysis

作者：MEIShao-hui; HEMing-yi

来源：遥感学报, 2010, 14(1).

• spectrum filter
• fully constrained unmixing
• mixture analysis
• multispectral/hyperspectral remote sensing

The presentation of mixtures not only influences the performance of image classification and target recognition, but also is an obstacle to quantitative analysis of remote sensing images. Therefore, a novel spectrum filter based fully constrained mixture analysis algorithm is proposed in this paper to tackle this problem. The spectrum filter, which could wipe off the back-ground spectrum in a mixed pixel, is firstly proposed to obtain the sum-to-one constrained fractional abundance of mixtures in remote sensing images. Since the precise endmember set of a mixture can be obtained by continually modifying the endmember space when minus abundance exists, the spectrum filter based iterative algorithm is present to realize fully constrained mixture analysis. Experimental analysis based on synthetic multispectral data set demonstrates that the proposed algorithm obviously outperforms the popular Fully Constrained Least Square unmixing (FCLS) algorithm and the Orthogonal Subspace Projection (OSP) algorithm. In addition, the proposed algorithm also achieves very promising performance on real hyperspectral images.

• 出版日期2010
• 单位西北工业大学