{"title":"SAR成像处理中的并行编程","authors":"Xu Jiang, Z. Minhui, Wu Yirong, Peng Hai-liang","doi":"10.1109/IGARSS.1999.773567","DOIUrl":null,"url":null,"abstract":"Synthetic aperture radar (SAR) imaging processing is a complex operation that requires a large amount of floating point computations. It is very time-consuming to convert SAR raw data into imagery on microcomputers. The authors have successively developed SAR processors using two kinds of computers-JN3AR of distributed memory multiprocessor architecture (made in China), and SGI Origin 200 of scalable shared memory multiprocessor architecture. The SAR imaging efficiency has been greatly improved.","PeriodicalId":169541,"journal":{"name":"IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Parallel programming in SAR imaging processing\",\"authors\":\"Xu Jiang, Z. Minhui, Wu Yirong, Peng Hai-liang\",\"doi\":\"10.1109/IGARSS.1999.773567\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Synthetic aperture radar (SAR) imaging processing is a complex operation that requires a large amount of floating point computations. It is very time-consuming to convert SAR raw data into imagery on microcomputers. The authors have successively developed SAR processors using two kinds of computers-JN3AR of distributed memory multiprocessor architecture (made in China), and SGI Origin 200 of scalable shared memory multiprocessor architecture. The SAR imaging efficiency has been greatly improved.\",\"PeriodicalId\":169541,\"journal\":{\"name\":\"IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-06-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IGARSS.1999.773567\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IGARSS.1999.773567","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Synthetic aperture radar (SAR) imaging processing is a complex operation that requires a large amount of floating point computations. It is very time-consuming to convert SAR raw data into imagery on microcomputers. The authors have successively developed SAR processors using two kinds of computers-JN3AR of distributed memory multiprocessor architecture (made in China), and SGI Origin 200 of scalable shared memory multiprocessor architecture. The SAR imaging efficiency has been greatly improved.