Hyperspectral image lossless compression algorithm based on adaptive band regrouping

Mingyi He; Lin Bai; Yuchao Dai; Jing Zhang

doi:10.1117/12.827450

31 August 2009 Hyperspectral image lossless compression algorithm based on adaptive band regrouping

Mingyi He, Lin Bai, Yuchao Dai, Jing Zhang

Proceedings Volume 7455, Satellite Data Compression, Communication, and Processing V; 745504 (2009) https://doi.org/10.1117/12.827450
Event: SPIE Optical Engineering + Applications, 2009, San Diego, California, United States

Abstract

Hyperspectral image has weak spatial correlation and strong spectral correlation. As to exploit spectrum redundancy sufficiently, it must be pre-processed. In this paper, a new algorithm for lossless compression of hyperspectral images based on adaptive band regrouping is proposed. Firstly, the affinity propagation clustering algorithm (AP) is chosen for band regrouping according to interband correlation. Then a linear prediction algorithm based on context prediction is applied to the hyperspectral images in different groups. Finally, the experimental results show that the proposed algorithm achieves performance gains of 1.12bpp over the conventional algorithm.

Citation Download Citation

Mingyi He, Lin Bai, Yuchao Dai, and Jing Zhang "Hyperspectral image lossless compression algorithm based on adaptive band regrouping", Proc. SPIE 7455, Satellite Data Compression, Communication, and Processing V, 745504 (31 August 2009); https://doi.org/10.1117/12.827450

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