{"title":"区域矿产资源禀赋评价中的自动图像解译:卡累利阿-科拉地区","authors":"A. Pugovkin","doi":"10.1080/07493878.2001.10642161","DOIUrl":null,"url":null,"abstract":"Prospects for use of computer technologies in interpretation of a multiscalar series of space images are examined for the purpose of conducting an inventory of natural resources. More specifically, space photographs are used to investigate the territory of the Karelia-Kola region for the purpose of identifying deposits of “anomalous” mineral resources, and uranium ores in particular.","PeriodicalId":405012,"journal":{"name":"Mapping Sciences and Remote Sensing","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"AUTOMATED IMAGE INTERPRETATION IN THE ASSESSMENT OF REGIONAL MINERAL RESOURCE ENDOWMENTS: THE KARELIA-KOLA REGION\",\"authors\":\"A. Pugovkin\",\"doi\":\"10.1080/07493878.2001.10642161\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Prospects for use of computer technologies in interpretation of a multiscalar series of space images are examined for the purpose of conducting an inventory of natural resources. More specifically, space photographs are used to investigate the territory of the Karelia-Kola region for the purpose of identifying deposits of “anomalous” mineral resources, and uranium ores in particular.\",\"PeriodicalId\":405012,\"journal\":{\"name\":\"Mapping Sciences and Remote Sensing\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mapping Sciences and Remote Sensing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/07493878.2001.10642161\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mapping Sciences and Remote Sensing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/07493878.2001.10642161","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
AUTOMATED IMAGE INTERPRETATION IN THE ASSESSMENT OF REGIONAL MINERAL RESOURCE ENDOWMENTS: THE KARELIA-KOLA REGION
Prospects for use of computer technologies in interpretation of a multiscalar series of space images are examined for the purpose of conducting an inventory of natural resources. More specifically, space photographs are used to investigate the territory of the Karelia-Kola region for the purpose of identifying deposits of “anomalous” mineral resources, and uranium ores in particular.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
