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Study on Wavelet Transform Based on Digital Map Data Compression

Gao Pan Lu Yuping Shen Chunlin (Department of Automatic Control,Nanjing University of Aeronautics & Astronautics Nanjing,210016)  
The digital map data compression technique is one of the keys to digital map technique. In this paper, a wavelet transform based digital map data compression algorithm, according to the characteristic of elevation data, is presented. And some relevant key techniques including choice of wavelet, uniform quantizer with dead zone, adaptive arithmetic coding and compression file structure are also emphatically studied. This paper also proposes a new error allocation algorithm, capable of efficiently allocating a given quota of root of mean square (RMS) error to a set of different quantizers, which is very important for the practice of digital map data compression. Finally, the compression and the decompression tests are carried out for five different kinds of digital maps. Experimental results show that the technique can achieve higher compression ratio with the same given quota of RMS error compared to other compression algorithms.
【Fund】: “九五”国防预研基金! (编号 :36 .6 .1)资助项目
【CateGory Index】: TP391.4
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