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《Journal of Data Acquisition & Processing》 2001-01
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Terrain Elevation Data Compression for Low Altitude Penetration System

Hu Zhizhong Xu Kehu Shen Chunlin College of Automation Engineering,Nanjing University of Aeronautics & Astronautics Nanjing 210016,P.R.China  
Digital terrain elevation data is one of important information for low altitude penetration system. It must be compressed to save the space of memory owing to the restriction of the weight and the volume of avionics. Three compression methods are studied and compared as follows: linear predictive coding (LPC), discrete cosine transformation (DCT) and block truncation coding (BTC). Firstly, a three order linear predictor is designed to compress terrain elevation data. Secondly, the reconstruction error of terrain elevation data compression based on DCT is estimated and quantification matrix is reasonably selected according to the equations of reconstruction error, so as to satisfy the demands of reconstruction error in low altitude penetration system. Finally, an adaptive BTC is proposed. The simulational results indicate that the adaptive BTC is better than the other two methods for low altitude penetration system.
【Fund】: “九五”国防预研基金资助项目
【CateGory Index】: TP399
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