{"title":"基于几何分析和SE-WORKBENCH的地面目标探测目标尺寸预测与验证","authors":"Sungho Kim, So-Hyun Kim","doi":"10.1109/ICCAS.2014.6987973","DOIUrl":null,"url":null,"abstract":"Conventional target detectors use filter kernel to enhance target signature and depress background clutter. It is important to use a predefined kernel size to enhance target detection performance and speed. This paper presents a geometrical analysis of ground target size using a set of target acquisition parameters and verifies predicted the target size by comparing with the output of commercial simulator (OKTAL SE-WORKBENCH).","PeriodicalId":6525,"journal":{"name":"2014 14th International Conference on Control, Automation and Systems (ICCAS 2014)","volume":"36 1","pages":"137-139"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Target size prediction and verification by geometrical analysis and SE-WORKBENCH for ground target detection\",\"authors\":\"Sungho Kim, So-Hyun Kim\",\"doi\":\"10.1109/ICCAS.2014.6987973\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Conventional target detectors use filter kernel to enhance target signature and depress background clutter. It is important to use a predefined kernel size to enhance target detection performance and speed. This paper presents a geometrical analysis of ground target size using a set of target acquisition parameters and verifies predicted the target size by comparing with the output of commercial simulator (OKTAL SE-WORKBENCH).\",\"PeriodicalId\":6525,\"journal\":{\"name\":\"2014 14th International Conference on Control, Automation and Systems (ICCAS 2014)\",\"volume\":\"36 1\",\"pages\":\"137-139\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 14th International Conference on Control, Automation and Systems (ICCAS 2014)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCAS.2014.6987973\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 14th International Conference on Control, Automation and Systems (ICCAS 2014)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAS.2014.6987973","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Target size prediction and verification by geometrical analysis and SE-WORKBENCH for ground target detection
Conventional target detectors use filter kernel to enhance target signature and depress background clutter. It is important to use a predefined kernel size to enhance target detection performance and speed. This paper presents a geometrical analysis of ground target size using a set of target acquisition parameters and verifies predicted the target size by comparing with the output of commercial simulator (OKTAL SE-WORKBENCH).