Pieterse, ChaneDu Plessis, Warren PaulFocke, Richard W.2019-11-142019-11-142019-02Pieterse, C., Du Plessis, W.P. & Focke, R.W. 2019, 'Metrics to evaluate compression algorithms for raw SAR data', IET Radar, Sonar and Navigation, vol. 13, no. 3, pp. 333-346.1751-8784 (print)1751-8792 (online)10.1049/iet-rsn.2018.5213http://hdl.handle.net/2263/72252Modern synthetic aperture radar (SAR) systems have size, weight, power and cost (SWAP-C) limitations since platforms are becoming smaller while SAR operating modes are becoming more complex. Thus, SAR systems are producing an ever-increasing volume of data that needs to be transferred to a ground station for processing. A compression algorithm seeks to reduce the data volume of the raw data; however, the algorithm can cause degradation and losses that may degrade the effectiveness of the SAR mission. This work addresses the lack of standardised quantitative performance metrics so that the performance of SAR data-compression algorithms can be objectively quantified. Therefore, metrics are established in two different domains, namely the data domain and the image domain. Since different levels of degradation are acceptable for different SAR applications, a trade-off can be made between the data reduction and the degradation caused by the algorithm. Due to SWAP-C limitations, there remains a trade-off between the performance and the computational complexity of the compression algorithm.en© The Institution of Engineering and Technology 2019. This paper is a postprint of a paper submitted to and accepted for publication in IET Control Theory and Applications and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library.Synthetic aperture radar (SAR)Size, weight, power and cost (SWAP-C)Data compressionImage codingRadar imagingSAR systemsSAR operating modesModern synthetic aperture radar systemsRaw SAR dataSWAP-C limitationsData reductionData domainSAR data-compression algorithmsStandardised quantitative performance metricsSAR missionData volumeSAR applicationsPostprint Article