Bin Feng , Jinpei Xiao , Junchao Zhang , Lin Li , Yunlong Wu , Qing Ye
{"title":"考虑阴影干扰的彩色偏振协同目标探测方法","authors":"Bin Feng , Jinpei Xiao , Junchao Zhang , Lin Li , Yunlong Wu , Qing Ye","doi":"10.1016/j.dt.2024.01.007","DOIUrl":null,"url":null,"abstract":"<div><p>Aiming at the problem of shadow interference in UAV's ground reconnaissance, a color and polarization synergistic target detection method is proposed for <em>anti</em>-shadow interference, based on the influence of two physical characteristics (wavelength and polarization) under different illuminations. A valid fusion strategy is proposed via integrating two separate detection results on color and polarization images. Moreover, a local enhancement and recognition module (LER) is introduced to boost the performance. Based on our built dataset, experimental results show that our method achieves <em>m</em><sub>AP</sub> of 87.76%, and 12.37% higher than that of color image and 14.68% higher than that of polarization image.</p></div>","PeriodicalId":58209,"journal":{"name":"Defence Technology(防务技术)","volume":"37 ","pages":"Pages 50-61"},"PeriodicalIF":5.0000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214914724000229/pdfft?md5=6ca92757207cd8d3a89d985b21addb96&pid=1-s2.0-S2214914724000229-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Color-polarization synergistic target detection method considering shadow interference\",\"authors\":\"Bin Feng , Jinpei Xiao , Junchao Zhang , Lin Li , Yunlong Wu , Qing Ye\",\"doi\":\"10.1016/j.dt.2024.01.007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Aiming at the problem of shadow interference in UAV's ground reconnaissance, a color and polarization synergistic target detection method is proposed for <em>anti</em>-shadow interference, based on the influence of two physical characteristics (wavelength and polarization) under different illuminations. A valid fusion strategy is proposed via integrating two separate detection results on color and polarization images. Moreover, a local enhancement and recognition module (LER) is introduced to boost the performance. Based on our built dataset, experimental results show that our method achieves <em>m</em><sub>AP</sub> of 87.76%, and 12.37% higher than that of color image and 14.68% higher than that of polarization image.</p></div>\",\"PeriodicalId\":58209,\"journal\":{\"name\":\"Defence Technology(防务技术)\",\"volume\":\"37 \",\"pages\":\"Pages 50-61\"},\"PeriodicalIF\":5.0000,\"publicationDate\":\"2024-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2214914724000229/pdfft?md5=6ca92757207cd8d3a89d985b21addb96&pid=1-s2.0-S2214914724000229-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Defence Technology(防务技术)\",\"FirstCategoryId\":\"1087\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2214914724000229\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Defence Technology(防务技术)","FirstCategoryId":"1087","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214914724000229","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
Aiming at the problem of shadow interference in UAV's ground reconnaissance, a color and polarization synergistic target detection method is proposed for anti-shadow interference, based on the influence of two physical characteristics (wavelength and polarization) under different illuminations. A valid fusion strategy is proposed via integrating two separate detection results on color and polarization images. Moreover, a local enhancement and recognition module (LER) is introduced to boost the performance. Based on our built dataset, experimental results show that our method achieves mAP of 87.76%, and 12.37% higher than that of color image and 14.68% higher than that of polarization image.
Defence Technology(防务技术)Mechanical Engineering, Control and Systems Engineering, Industrial and Manufacturing Engineering
CiteScore
8.70
自引率
0.00%
发文量
728
审稿时长
25 days
期刊介绍:
Defence Technology, a peer reviewed journal, is published monthly and aims to become the best international academic exchange platform for the research related to defence technology. It publishes original research papers having direct bearing on defence, with a balanced coverage on analytical, experimental, numerical simulation and applied investigations. It covers various disciplines of science, technology and engineering.