{"title":"Agent communication based SAR image parallel processing","authors":"T. Chi, Xin Zhang, Hongqiao Wu, Jinyun Fang","doi":"10.1109/PDCAT.2003.1236359","DOIUrl":null,"url":null,"abstract":"Airborne SAR remote sensing image has the characteristic of large data volume and computation burden, so the processing needs very large computer memory and stronger computation ability. Based on the introduction of the SAR image processing procedure, we study the SAR image processing using computer parallel computation technology. The parallel processing mechanism is based on the parallel computer cluster operation and the large virtual shared memory technology. In the client/server architecture based SAR image parallel system, agent based network communication plays an important role in the computer performance monitor and burden distribution. In the end, the application of the SAR image parallel processing system in the disaster monitor and assessment system is introduced. The application result illustrates the high efficiency of the system and the feasibility of our research.","PeriodicalId":145111,"journal":{"name":"Proceedings of the Fourth International Conference on Parallel and Distributed Computing, Applications and Technologies","volume":"118 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Fourth International Conference on Parallel and Distributed Computing, Applications and Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PDCAT.2003.1236359","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Airborne SAR remote sensing image has the characteristic of large data volume and computation burden, so the processing needs very large computer memory and stronger computation ability. Based on the introduction of the SAR image processing procedure, we study the SAR image processing using computer parallel computation technology. The parallel processing mechanism is based on the parallel computer cluster operation and the large virtual shared memory technology. In the client/server architecture based SAR image parallel system, agent based network communication plays an important role in the computer performance monitor and burden distribution. In the end, the application of the SAR image parallel processing system in the disaster monitor and assessment system is introduced. The application result illustrates the high efficiency of the system and the feasibility of our research.