Abstract：In order to remove the data redundancy of hyperspectral image and improve the accuracy and efficiency of hyperspectral image processing, this paper proposes a band selection method based on linear representation of hyperspectral image. A linear relationship is established for a band with the other bands, and the most relevant band is removed as a redundant band which is determined based on the multiple correlation coefficient. The set of minimum bands is finally obtained by repeating the above process for the remaining bands. It is proved that the set of selected endmembers by using the above bands is consistent with the set selected by using all bands, and the redundancy bands are removed to the greatest extent without affecting the endmember extraction. The experimental results show that the band selection algorithm in the paper is feasible and effective.
董安国, 龚文娟, 韩雪. 基于线性表示的高光谱影像波段选择算法[J]. 国土资源遥感, 2017, 29(4): 39-42.
DONG Anguo, GONG Wenjuan, HAN Xue. Band selection method for hyperspectral image based on linear representation. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(4): 39-42.
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2017, Vol. 29 
