Hyperspectral image compression using bands combination wavelet transformation

Wenjie Wang; Zhongming Zhao; Haiqing Zhu

doi:10.1117/12.833040

30 October 2009 Hyperspectral image compression using bands combination wavelet transformation

Wenjie Wang, Zhongming Zhao, Haiqing Zhu

Proceedings Volume 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications; 749810 (2009) https://doi.org/10.1117/12.833040
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

Hyperspectral imaging technology is the foreland of the remote sensing development in the 21st century and is one of the most important focuses of the remote sensing domain. Hyperspectral images can provide much more information than multispectral images do and can solve many problems which can't be solved by multispectral imaging technology. However this advantage is at the cost of massy quantity of data that brings difficulties of images' process, storage and transmission. Research on hyperspectral image compression method has important practical significance. This paper intends to do some improvement of the famous KLT-WT-2DSPECK (Karhunen-Loeve transform+ wavelet transformation+ two-dimensional set partitioning embedded block compression) algorithm and advances KLT + bands combination 2DWT + 2DSPECK algorithm. Experiment proves that this method is effective.

Citation Download Citation

Wenjie Wang, Zhongming Zhao, and Haiqing Zhu "Hyperspectral image compression using bands combination wavelet transformation", Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 749810 (30 October 2009); https://doi.org/10.1117/12.833040

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