Daniel Didulescu, Academia Tehnică Militară, Claudiu Buciu, D. Raducanu
{"title":"Mission Planner for GEOINT Data Acquisition","authors":"Daniel Didulescu, Academia Tehnică Militară, Claudiu Buciu, D. Raducanu","doi":"10.32754/jmt.2018.1.09","DOIUrl":null,"url":null,"abstract":"Digital Object Identifier 10.32754/JMT.2018.1.09 51 Abstract—Across all North Atlantic Treaty nations there is a very well implemented way of military thinking when preparing for war or for crisis operations. Starting from scratch we consider first the military intelligence, afterwards looking for planning, carrying out the operation, and finally assessing the whole campaign. The real first step of this process is the Geospatial Intelligence (GEOINT). In order to collect, analyze, and disseminate as much intelligence as possible, the military maps will look for integrating data from different aerial and spatial sensors. Having in mind that not all the enemy’s soil could be surveyed by us, we are trying to match pan-sharpened digital pictures taken by Copter Unmanned Air Vehicles with images taken by commercial satellites and to extend by induction, using the relationship between the different levels of grey of the multi-sensors final products, the geographical knowledge management over the white spots.","PeriodicalId":315050,"journal":{"name":"Journal of Military Technology","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Military Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32754/jmt.2018.1.09","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Digital Object Identifier 10.32754/JMT.2018.1.09 51 Abstract—Across all North Atlantic Treaty nations there is a very well implemented way of military thinking when preparing for war or for crisis operations. Starting from scratch we consider first the military intelligence, afterwards looking for planning, carrying out the operation, and finally assessing the whole campaign. The real first step of this process is the Geospatial Intelligence (GEOINT). In order to collect, analyze, and disseminate as much intelligence as possible, the military maps will look for integrating data from different aerial and spatial sensors. Having in mind that not all the enemy’s soil could be surveyed by us, we are trying to match pan-sharpened digital pictures taken by Copter Unmanned Air Vehicles with images taken by commercial satellites and to extend by induction, using the relationship between the different levels of grey of the multi-sensors final products, the geographical knowledge management over the white spots.