{"title":"一种改进的基于结构检测的SAR图像散斑滤波方法","authors":"Jia Cheng-li, Gao Gui, Kuang Gang-yao, Yu Wen-xian","doi":"10.1109/RISSP.2003.1285698","DOIUrl":null,"url":null,"abstract":"This paper presents an improved method of speckle filtering in SAR image based on structure detection to solve some problems of the Lopes' structure detection and statistical adaptive speckle filtering. The method uses the probability iterative to segment SAR image and detect the edges, then combines the strong scatterer detection result to label the SAR image as structure area and non-structure area. In non-structure area, the Lee filter is used, and in the structure area, the intensity of the image is preserved. Experimental results with RADARSAT images verify the practicability and the advantage of the improved method.","PeriodicalId":66490,"journal":{"name":"计算机仿真","volume":"2 1","pages":"852-857 vol.2"},"PeriodicalIF":0.0000,"publicationDate":"2003-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/RISSP.2003.1285698","citationCount":"2","resultStr":"{\"title\":\"An improved method of speckle filtering in SAR image based on structure detection\",\"authors\":\"Jia Cheng-li, Gao Gui, Kuang Gang-yao, Yu Wen-xian\",\"doi\":\"10.1109/RISSP.2003.1285698\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an improved method of speckle filtering in SAR image based on structure detection to solve some problems of the Lopes' structure detection and statistical adaptive speckle filtering. The method uses the probability iterative to segment SAR image and detect the edges, then combines the strong scatterer detection result to label the SAR image as structure area and non-structure area. In non-structure area, the Lee filter is used, and in the structure area, the intensity of the image is preserved. Experimental results with RADARSAT images verify the practicability and the advantage of the improved method.\",\"PeriodicalId\":66490,\"journal\":{\"name\":\"计算机仿真\",\"volume\":\"2 1\",\"pages\":\"852-857 vol.2\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-10-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1109/RISSP.2003.1285698\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"计算机仿真\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://doi.org/10.1109/RISSP.2003.1285698\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"计算机仿真","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.1109/RISSP.2003.1285698","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An improved method of speckle filtering in SAR image based on structure detection
This paper presents an improved method of speckle filtering in SAR image based on structure detection to solve some problems of the Lopes' structure detection and statistical adaptive speckle filtering. The method uses the probability iterative to segment SAR image and detect the edges, then combines the strong scatterer detection result to label the SAR image as structure area and non-structure area. In non-structure area, the Lee filter is used, and in the structure area, the intensity of the image is preserved. Experimental results with RADARSAT images verify the practicability and the advantage of the improved method.