Evaluation and comparison of JPEG2000 and vector quantization based onboard data compression algorithm for hyperspectral imagery
暂无分享,去创建一个
This paper evaluates and compares JPEG 2000 and Successive Approximation Multi-stage Vector Quantization (SAMVQ) compression algorithms for hyperspectral imagery. PSNR was used to measure the statistical performance of the two compression algorithms. The SAMVQ outperforms JPEG 2000 by 17 dB of PSNR at the same compression ratios. The preservation of both spatial and spectral features was evaluated qualitatively and quantitatively. The SAMVQ outperforms JPEG 2000 in both spatial and spectral features preservation.
[1] Shen-En Qian,et al. Quantitative evaluation of hyperspectral data compressed by near lossless onboard compression techniques , 2002, IEEE International Geoscience and Remote Sensing Symposium.
[2] John R. Miller,et al. Impact of vector quantization compression on hyperspectral data in the retrieval accuracies of crop chlorophyll content for precision agriculture , 2002, IEEE International Geoscience and Remote Sensing Symposium.
[3] Shen-En Qian,et al. Impact of On-Board Hyperspectral Data Compression on Mineral Mapping Products , 2002 .