Study of Effect of Raw Data Compression on Space-borne InSAR Interferometry Based on Real Data
基于实测数据的原始数据压缩对InSAR系统测高影响研究

In order to study the effect of raw data compression on space-borne InSAR interferometry. This paper utilizes 4 typical ERS-1/2 raw data of different altitude to evaluate Block Adaptive Quantization (BAQ) and Amplitude-Phase (AP) algorithm. The numerical experiments results show that when BAQ is used, the block size should be chosen carefully. At the same time, 4 bit/sample is the least bit rate for precise SAR interferometry when the vertical baseline is short. When AP algorithm is used, the quantization bits should be distributed suitably. When the average bit rate is 3 bit/sample, the best choice of AP is 2 bits for amplitude quantization and 4 bits for phase quantization which performance is between 3 bit BAQ and 4 bit BAQ.