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Proceedings Paper

Lossless and lossy compression for MODIS level 0 data
Author(s): Wei-hua Ai; Yun-xian Huang; Xiang Li; Chao-ling Shen
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Paper 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.

Paper Details

Date Published: 30 October 2009
PDF: 8 pages
Proc. SPIE 7494, MIPPR 2009: Multispectral Image Acquisition and Processing, 74942H (30 October 2009); doi: 10.1117/12.834021
Show Author Affiliations
Wei-hua Ai, PLA Univ. of Science and Technology (China)
Yun-xian Huang, PLA Univ. of Science and Technology (China)
Xiang Li, PLA Univ. of Science and Technology (China)
Chao-ling Shen, PLA Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 7494:
MIPPR 2009: Multispectral Image Acquisition and Processing
Faxiong Zhang; Faxiong Zhang, Editor(s)

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