Satellite Hyperspectral Imagery Compression Algorithm Based on Adaptive Band Regrouping
Hyperspectral image from satellite is important for earth observation and military reconnaissance. However there exists big contradictory between the transmission capacity of satellite channel and large amount hyperspectral data. There are spatial and spectrum redundancy in hyperspectral image. As to exploit spectrum correlation sufficiently, it must be to pre-process hyperspectral image. In this paper, we propose a novel acceptable complexity lossy hyperspectral image compression scheme which combines the prediction based on adaptive band regrouping and JPEG2000-based coding algorithm. The regrouping includes band classification and reference frame selection. Our experiments show that the proposed approach has a good performance in quality and fidelity. It is effective and not complicated, which may be a good choice for hyperspectral compression in the embedded processor of satellite platform.
hyperspectral image regrouping prediction JPEG2000 wavelet transform bit-plane coding
Zheng Zhou Yihua Tan Jian Liu
Huazhong University of Sci.& Tech.,Wuhan,China,430074
国际会议
武汉
英文
2006-09-01（万方平台首次上网日期，不代表论文的发表时间）