{"title":"人道主义排雷模式识别","authors":"P. Gader","doi":"10.1109/ICPR.2002.1048353","DOIUrl":null,"url":null,"abstract":"Landmine detection has become a humanitarian problem of great magnitude. It is estimated that there are between 60 and 100 million landmines buried around the world and that someone is killed or injured by landmines every 20 minutes. Pattern recognition problems in this area are discussed. A brief overview of sensors used to collect data is given. Current pattern recognition methodologies in use are described. Future challenges are outlined.","PeriodicalId":159502,"journal":{"name":"Object recognition supported by user interaction for service robots","volume":"22 7","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Pattern recognition for humanitarian de-mining\",\"authors\":\"P. Gader\",\"doi\":\"10.1109/ICPR.2002.1048353\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Landmine detection has become a humanitarian problem of great magnitude. It is estimated that there are between 60 and 100 million landmines buried around the world and that someone is killed or injured by landmines every 20 minutes. Pattern recognition problems in this area are discussed. A brief overview of sensors used to collect data is given. Current pattern recognition methodologies in use are described. Future challenges are outlined.\",\"PeriodicalId\":159502,\"journal\":{\"name\":\"Object recognition supported by user interaction for service robots\",\"volume\":\"22 7\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Object recognition supported by user interaction for service robots\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPR.2002.1048353\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Object recognition supported by user interaction for service robots","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPR.2002.1048353","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Landmine detection has become a humanitarian problem of great magnitude. It is estimated that there are between 60 and 100 million landmines buried around the world and that someone is killed or injured by landmines every 20 minutes. Pattern recognition problems in this area are discussed. A brief overview of sensors used to collect data is given. Current pattern recognition methodologies in use are described. Future challenges are outlined.
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