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| A Fast Variable-Rate SAR Raw Data Compression Algorithm |
| Qin Lei;Wang Yan-fei;Hu Xiao-xin |
| Institute of Electronics, Chinese Academy of Sciences, Beijing 100080, China |
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Abstract In this paper, based on the theory of the Block Adaptive Vector Quantization (BAVQ) algorithm, a variable-rate algorithm is proposed. In order to reduce the encoding computation complexity of the improved BAVQ algorithm, a fast VQ search algorithm and a look-up table to found quantizer control (threshold) are used. Using this improved algorithm to compress SAR raw data, a higher encoding efficiency is achieved and the SNR does not decrease in evidence. The decompressed images reserve most of details on the images resulted from raw data.
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Received: 23 June 2004
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2006, Vol. 28 
