DocumentCode :
514593
Title :
A New Approach for Lossless Compression of MODIS Data
Author :
Huang, YunXian ; Li, Xiang ; Ai, WeiHua
Author_Institution :
Inst. of Meteorol., PLA Univ. of Sci. & Technol., Nanjing, China
Volume :
1
fYear :
2010
fDate :
13-14 March 2010
Firstpage :
165
Lastpage :
168
Abstract :
The MODIS data is increasingly important for oceanographic, terrestrial, and atmospheric science observation. The lossless data compression therefore becomes vital for its data transmission and storage as a result of the high data rate. In this paper we present a new approach for lossless compression of MODIS data. First we determine the prediction sequence using the maximum spanning tree derived from the inter-band correlation coefficient matrix, then a simple linear inter-band prediction method is performed. At last the reference band and residual bands are compressed using JPEG-LS. Experimental results show that our method outperforms WinRAR, JPEG2000, JPEG-LS and Mcalic.
Keywords :
data compression; geophysical image processing; geophysical techniques; image coding; matrix algebra; trees (mathematics); JPEG-LS; JPEG2000; MODIS data lossless compression; Mcalic; WinRAR; atmospheric science observation; data storage; data transmission; interband correlation coefficient matrix; linear interband prediction method; maximum spanning tree; oceanographic science observation; prediction sequence; terrestrial science observation; MODIS; band ordering; correlation; lossless compression; prediction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
Conference_Location :
Changsha City
Print_ISBN :
978-1-4244-5001-5
Electronic_ISBN :
978-1-4244-5739-7
Type :
conf
DOI :
10.1109/ICMTMA.2010.331
Filename :
5458570
Link To Document :
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