D. Zuehlke, T. Henderson, T. A. Lovell, Alex Sizemore
{"title":"An End-to-End Process for Local Space Situational Awareness from Optical Observers","authors":"D. Zuehlke, T. Henderson, T. A. Lovell, Alex Sizemore","doi":"10.1109/PLANS46316.2020.9109868","DOIUrl":null,"url":null,"abstract":"This paper presents a generalized method of observation, association, and orbit determination of space objects from one or more observers equipped with optical cameras. The basic steps in the process include image acquisition, image processing, space object identification, tracklet association, and initial and/or precise orbit determination. The first portion of this process is detailed herein (to include object identification), and results are shown and evaluated for representative scenarios. Scenarios presented utilize ground-based optical imagery as a proof of concept for the method outlined.","PeriodicalId":273568,"journal":{"name":"2020 IEEE/ION Position, Location and Navigation Symposium (PLANS)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE/ION Position, Location and Navigation Symposium (PLANS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PLANS46316.2020.9109868","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
This paper presents a generalized method of observation, association, and orbit determination of space objects from one or more observers equipped with optical cameras. The basic steps in the process include image acquisition, image processing, space object identification, tracklet association, and initial and/or precise orbit determination. The first portion of this process is detailed herein (to include object identification), and results are shown and evaluated for representative scenarios. Scenarios presented utilize ground-based optical imagery as a proof of concept for the method outlined.