Lossless and lossy compression for MODIS level 0 data

Wei-hua Ai; Yun-xian Huang; Xiang Li; Chao-ling Shen

doi:10.1117/12.834021

30 October 2009 Lossless and lossy compression for MODIS level 0 data

Wei-hua Ai, Yun-xian Huang, Xiang Li, Chao-ling Shen

Proceedings Volume 7494, MIPPR 2009: Multispectral Image Acquisition and Processing; 74942H (2009) https://doi.org/10.1117/12.834021
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

In this paper, we study the lossless and lossy compression methods for MODIS Level 0 data. Firstly, in order to decrease the compression time we use the simple image partitioning algorithm for MODIS image before compression. The experimental results show that by using the partitioning algorithm the compression time can be decreased about 25%. Then we present some lossless and lossy compression methods for MODIS level 0data. For lossless compression the experiments show that using the interband predictor helps to improve the compression rate because the redundancy among bands is reduced. For lossy compression we utilize some wavelet based methods to compress the denoised images. Finally we present the lossless and lossy compression results for MODIS image data by the methods.

Citation Download Citation

Wei-hua Ai, Yun-xian Huang, Xiang Li, and Chao-ling Shen "Lossless and lossy compression for MODIS level 0 data", Proc. SPIE 7494, MIPPR 2009: Multispectral Image Acquisition and Processing, 74942H (30 October 2009); https://doi.org/10.1117/12.834021

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