{"title":"基于SSD的机场跑道异物碎片和小目标检测算法研究","authors":"Qiang Gao, Ruifeng Hong, Yutong Chen, Jiaxing Lei","doi":"10.1145/3448734.3450862","DOIUrl":null,"url":null,"abstract":"The SSD algorithm is currently a widely used target detection algorithm. In view of the small size of common foreign objects on airport runways and the low accuracy of SSD processing small target objects, this paper applies feature fusion method in SSD model to construct a new small target object detection algorithm model. The accuracy of the model is detected on the self-built airport runway foreign body data set, and the detection result mAP is 5% higher than the original SSD network.","PeriodicalId":105999,"journal":{"name":"The 2nd International Conference on Computing and Data Science","volume":"1217 7","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Research on Detection Algorithm of Foreign Object Debris and Small Targets in Airport Runway Based on SSD\",\"authors\":\"Qiang Gao, Ruifeng Hong, Yutong Chen, Jiaxing Lei\",\"doi\":\"10.1145/3448734.3450862\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The SSD algorithm is currently a widely used target detection algorithm. In view of the small size of common foreign objects on airport runways and the low accuracy of SSD processing small target objects, this paper applies feature fusion method in SSD model to construct a new small target object detection algorithm model. The accuracy of the model is detected on the self-built airport runway foreign body data set, and the detection result mAP is 5% higher than the original SSD network.\",\"PeriodicalId\":105999,\"journal\":{\"name\":\"The 2nd International Conference on Computing and Data Science\",\"volume\":\"1217 7\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 2nd International Conference on Computing and Data Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3448734.3450862\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 2nd International Conference on Computing and Data Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3448734.3450862","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Detection Algorithm of Foreign Object Debris and Small Targets in Airport Runway Based on SSD
The SSD algorithm is currently a widely used target detection algorithm. In view of the small size of common foreign objects on airport runways and the low accuracy of SSD processing small target objects, this paper applies feature fusion method in SSD model to construct a new small target object detection algorithm model. The accuracy of the model is detected on the self-built airport runway foreign body data set, and the detection result mAP is 5% higher than the original SSD network.
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