SAR数据的最优块量化

P. Guccione, C. Cafforio, A. M. Guarnieri
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引用次数: 5

摘要

提出了一种适用于新一代SAR卫星的可变比特率编码方案。这种编码基于先前的块自适应量化器(BAQ)[1]方案,旨在作为对Sentinel-1 FDBAQ的可能改进[3,4]。在这个项目中,量化器的数量被认为是一种设计选择,并进行优化,寻找一组反射率类,其中划分了地球上所有的成像区域。在信噪比与平均速率方面,获得了优于Sentinel-1 FDBAQ设想的性能。结果基于ESRIN从ENVISAT GM数据[6]和维也纳大学ENVISAT WSM雷达反射率[10]数据库中获得的16位C波段反射率拼接进行模拟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal block quantization for SAR data
A variable bit rate coding scheme designed for new generation SAR satellites is presented. This coding is based on previous schemes of Block Adaptive Quantizer (BAQ) [1] and is intended as a possible improvement over Sentinel-1 FDBAQ [3,4]. In this project, the number of quantizers is considered a design choice and the optimization is carried out looking for a set of reflectivity classes in which partition all the imaged areas on the Earth. Superior performances to those envisaged for Sentinel-1 FDBAQ are obtained in terms of SNR vs. average rate. Results come from simulations based on a 16-bit mosaic of C band reflectivity obtained by ESRIN from ENVISAT GM data [6] and Wien University database of ENVISAT WSM radar reflectivity [10].
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