{"title":"单通道SAR图像的模糊监督分类系统设计","authors":"S. Fang, H. Wen, Mao Shiyi","doi":"10.1109/ICR.2001.984754","DOIUrl":null,"url":null,"abstract":"A fuzzy supervised classification system for single-channel SAR images is designed. The system mainly consists of two parts: a fuzzy supervised partitioner and a fuzzy vector quantizer both of which employ fuzzy theory. The fuzzy partitioner is the key part that determines the classification accuracy level and the fuzzy vector quantizer is appended to improve the accuracy. The use of the system includes system training, data fuzzy analysis, result display and classification accuracy estimation. The classification result is compared with GML classification result to evaluate the system's performance.","PeriodicalId":366998,"journal":{"name":"2001 CIE International Conference on Radar Proceedings (Cat No.01TH8559)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design of fuzzy supervised classification system for single-channel SAR images\",\"authors\":\"S. Fang, H. Wen, Mao Shiyi\",\"doi\":\"10.1109/ICR.2001.984754\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A fuzzy supervised classification system for single-channel SAR images is designed. The system mainly consists of two parts: a fuzzy supervised partitioner and a fuzzy vector quantizer both of which employ fuzzy theory. The fuzzy partitioner is the key part that determines the classification accuracy level and the fuzzy vector quantizer is appended to improve the accuracy. The use of the system includes system training, data fuzzy analysis, result display and classification accuracy estimation. The classification result is compared with GML classification result to evaluate the system's performance.\",\"PeriodicalId\":366998,\"journal\":{\"name\":\"2001 CIE International Conference on Radar Proceedings (Cat No.01TH8559)\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-10-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2001 CIE International Conference on Radar Proceedings (Cat No.01TH8559)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICR.2001.984754\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2001 CIE International Conference on Radar Proceedings (Cat No.01TH8559)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICR.2001.984754","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design of fuzzy supervised classification system for single-channel SAR images
A fuzzy supervised classification system for single-channel SAR images is designed. The system mainly consists of two parts: a fuzzy supervised partitioner and a fuzzy vector quantizer both of which employ fuzzy theory. The fuzzy partitioner is the key part that determines the classification accuracy level and the fuzzy vector quantizer is appended to improve the accuracy. The use of the system includes system training, data fuzzy analysis, result display and classification accuracy estimation. The classification result is compared with GML classification result to evaluate the system's performance.
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