{"title":"使用PVM处理SAR","authors":"S. Wuyts, M. R. Inggs","doi":"10.1109/COMSIG.1998.736931","DOIUrl":null,"url":null,"abstract":"This paper presents a study of the use of PVM (parallel virtual machine) to improve the speed of synthetic aperture radar (SAR) image processing. PVM is a software system that enables a user-configurable pool of heterogeneous computers to be used as a virtual machine. The SAR processing test software performed simplified range and azimuth compression on simulated SAR images of a point target. Results show that PVM improves the time taken to process a SAR image once system factors are optimised.","PeriodicalId":294473,"journal":{"name":"Proceedings of the 1998 South African Symposium on Communications and Signal Processing-COMSIG '98 (Cat. No. 98EX214)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"SAR processing using PVM\",\"authors\":\"S. Wuyts, M. R. Inggs\",\"doi\":\"10.1109/COMSIG.1998.736931\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a study of the use of PVM (parallel virtual machine) to improve the speed of synthetic aperture radar (SAR) image processing. PVM is a software system that enables a user-configurable pool of heterogeneous computers to be used as a virtual machine. The SAR processing test software performed simplified range and azimuth compression on simulated SAR images of a point target. Results show that PVM improves the time taken to process a SAR image once system factors are optimised.\",\"PeriodicalId\":294473,\"journal\":{\"name\":\"Proceedings of the 1998 South African Symposium on Communications and Signal Processing-COMSIG '98 (Cat. No. 98EX214)\",\"volume\":\"51 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-09-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 1998 South African Symposium on Communications and Signal Processing-COMSIG '98 (Cat. No. 98EX214)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COMSIG.1998.736931\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 1998 South African Symposium on Communications and Signal Processing-COMSIG '98 (Cat. No. 98EX214)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMSIG.1998.736931","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper presents a study of the use of PVM (parallel virtual machine) to improve the speed of synthetic aperture radar (SAR) image processing. PVM is a software system that enables a user-configurable pool of heterogeneous computers to be used as a virtual machine. The SAR processing test software performed simplified range and azimuth compression on simulated SAR images of a point target. Results show that PVM improves the time taken to process a SAR image once system factors are optimised.
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