Shangyi Xiaol, Li Tong, Ningning Liang, Jun Shu, Bin Yan, Ying Zeng
{"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}
引用次数: 0
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%.