{"title":"A Two-Phase Object Detection Solution for Aerial Images","authors":"Chen Xing, Xi Liang, Pengliang Zhang","doi":"10.1109/ICCSNT50940.2020.9305002","DOIUrl":null,"url":null,"abstract":"This paper proposes a two-phase solution for aerial inspecting. First phase focuses on removing images with no abnormal, modified YOLOv3 is used in this phase. Second phase focuses on target locating and identifying, modified SSD is applied in this phase. The experiment result shows the modified YOLOv3 get 2.2% higher accuracy than original design, and the miss rate of detecting images with no abnormal is only 2.6%.","PeriodicalId":6794,"journal":{"name":"2020 IEEE 8th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"163 1","pages":"119-122"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 8th International Conference on Computer Science and Network Technology (ICCSNT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSNT50940.2020.9305002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract
This paper proposes a two-phase solution for aerial inspecting. First phase focuses on removing images with no abnormal, modified YOLOv3 is used in this phase. Second phase focuses on target locating and identifying, modified SSD is applied in this phase. The experiment result shows the modified YOLOv3 get 2.2% higher accuracy than original design, and the miss rate of detecting images with no abnormal is only 2.6%.
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