%0 Journal Article
%A QIAO Xu
%A WANG Xiao-juan
%A YU Kai-min
%A ZHAO Xue-jun
%T A New FCM Based on Simulated Annealing of Hyperspectral Image Compression
%D 2015
%R 10.13190/j.jbupt.2015.05.010
%J Journal of Beijing University of Posts and Telecommunications
%P 58-61,70
%V 38
%N 5
%X <p>Lossy compression of hyperspectral image based on vector quantization algorithms can achieve a high compression ratio, but it is of time complexity and great distortion. This article proposed a new fuzzy C-means clustering (FCM) algorithm based on simulated annealing. Firstly, the dimensions were reduced by using the algorithm of adaptive band combination dimensional reduction (ABC), then the number of clusters with the elbow was determined. FCM was combined with simulated annealing, and found optimal result quickly, then recovered dimensions. We got optimization coding by deblurring U. Through this approach, the efficiency has been improved and the distortions have been reduced greatly.</p>
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2015.05.010