Shangyi Xiaol, Li Tong, Ningning Liang, Jun Shu, Bin Yan, Ying Zeng
{"title":"基于多ERP分量的遥感图像目标检测","authors":"Shangyi Xiaol, Li Tong, Ningning Liang, Jun Shu, Bin Yan, Ying Zeng","doi":"10.1109/IAEAC.2018.8577268","DOIUrl":null,"url":null,"abstract":"Target detection technique based on event-related potential (ERP) has become a new method to solve the problems of small target detection with complex background in remote-sensing images. Multiple ERP components reflect different stages of the visual information processing, previous studies usually used features of single ERP component to detecting targets. In this paper, a target detection model was built based on multiple ERP components evoked in rapid serial visual presentation (RSVP) of remote-sensing images. Experimental results showed that combing the spatiotemporal features of multiple ERP components could improve the detection accuracy, where the mean AUC could reach 89%.","PeriodicalId":6573,"journal":{"name":"2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"123 1","pages":"1199-1202"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Target Detection for Remote Sensing Image Based on Multiple ERP Components\",\"authors\":\"Shangyi Xiaol, Li Tong, Ningning Liang, Jun Shu, Bin Yan, Ying Zeng\",\"doi\":\"10.1109/IAEAC.2018.8577268\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Target detection technique based on event-related potential (ERP) has become a new method to solve the problems of small target detection with complex background in remote-sensing images. Multiple ERP components reflect different stages of the visual information processing, previous studies usually used features of single ERP component to detecting targets. In this paper, a target detection model was built based on multiple ERP components evoked in rapid serial visual presentation (RSVP) of remote-sensing images. Experimental results showed that combing the spatiotemporal features of multiple ERP components could improve the detection accuracy, where the mean AUC could reach 89%.\",\"PeriodicalId\":6573,\"journal\":{\"name\":\"2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)\",\"volume\":\"123 1\",\"pages\":\"1199-1202\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IAEAC.2018.8577268\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAEAC.2018.8577268","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Target Detection for Remote Sensing Image Based on Multiple ERP Components
Target detection technique based on event-related potential (ERP) has become a new method to solve the problems of small target detection with complex background in remote-sensing images. Multiple ERP components reflect different stages of the visual information processing, previous studies usually used features of single ERP component to detecting targets. In this paper, a target detection model was built based on multiple ERP components evoked in rapid serial visual presentation (RSVP) of remote-sensing images. Experimental results showed that combing the spatiotemporal features of multiple ERP components could improve the detection accuracy, where the mean AUC could reach 89%.
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