{"title":"跟踪前探测空间态势感知","authors":"S. Davey, T. Bessell, B. Cheung, M. Rutten","doi":"10.1109/DICTA.2015.7371316","DOIUrl":null,"url":null,"abstract":"This article considers the application of multi-target tracking algorithms to Space Situation awareness. The sensor is a telescope fitted with an optical band digital camera. Two different tracking paradigms are demonstrated: the first approach is a detect-then-track method that uses frame-to-frame registration to model the star field and detect a moving satellite, the detections are processed using a point-measurement tracker; the second is a track-before-detect algorithm that uses the telescope images directly as input and jointly tracks the stars and the satellite. The two are compared on experimental imagery collected from a telescope system.","PeriodicalId":214897,"journal":{"name":"2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Track before Detect for Space Situation Awareness\",\"authors\":\"S. Davey, T. Bessell, B. Cheung, M. Rutten\",\"doi\":\"10.1109/DICTA.2015.7371316\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article considers the application of multi-target tracking algorithms to Space Situation awareness. The sensor is a telescope fitted with an optical band digital camera. Two different tracking paradigms are demonstrated: the first approach is a detect-then-track method that uses frame-to-frame registration to model the star field and detect a moving satellite, the detections are processed using a point-measurement tracker; the second is a track-before-detect algorithm that uses the telescope images directly as input and jointly tracks the stars and the satellite. The two are compared on experimental imagery collected from a telescope system.\",\"PeriodicalId\":214897,\"journal\":{\"name\":\"2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DICTA.2015.7371316\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DICTA.2015.7371316","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This article considers the application of multi-target tracking algorithms to Space Situation awareness. The sensor is a telescope fitted with an optical band digital camera. Two different tracking paradigms are demonstrated: the first approach is a detect-then-track method that uses frame-to-frame registration to model the star field and detect a moving satellite, the detections are processed using a point-measurement tracker; the second is a track-before-detect algorithm that uses the telescope images directly as input and jointly tracks the stars and the satellite. The two are compared on experimental imagery collected from a telescope system.