电讯技术2017，Vol.57Issue(3)：263-269,7.DOI:10.3969/j.issn.1001-893x.2017.03.003
一种结合空谱聚类的高光谱图像快速压缩算法
A Fast Hyperspectral Image Compression Algorithm Combined with Group and Region Clustering
摘要
Abstract
Fast compression of hyperspectral image has become a hot topic in the field of hyperspectral re-mote sensing. Owing to the large amount of hyperspectral image data and the large amount of computation required for hyperspectral image compression,this paper presents a fast hyperspectral image compression algorithm based on band clustering+principal component analysis( PCA) and image segmentation. Firstly, the algorithm clusters the bands using maximum correlation band clustering( MCBC) algorithm. Secondly,it compresses each band cluster using PCA. After compression, the clustering signal subspace projection ( CSSP) algorithm divides the image into proper regions. Finally,it finishes the encoding of each image re-gion by vector quantization using Linde Buzo Gray( LBG) algorithm. The simulation results under different compression ratios show that the proposed algorithm can achieve a significant reduction in computational complexity and rapid compression of hyperspectral images,while ensuring good quality image restoration.关键词
遥感图像处理/高光谱图像/快速压缩/频段聚类/图像分类/矢量量化Key words
remote sensing image processing/hyperspectral image/fast compression/band cluster/image classification/vector quantization分类
信息技术与安全科学引用本文复制引用
王一宁,陈善学,桂成名..一种结合空谱聚类的高光谱图像快速压缩算法[J].电讯技术,2017,57(3):263-269,7.基金项目
国家自然科学基金资助项目(61271260) （61271260）
重庆市教委科学技术研究项目(KJ1400416) （KJ1400416）
