A New Approach for Lossless Compression of MODIS Data

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.