{"title":"基于NSCT和PCNN的SAR/红外图像融合方法","authors":"Wan Luo, Hongbo Zhang, Jing Ding","doi":"10.1109/APSAR46974.2019.9048470","DOIUrl":null,"url":null,"abstract":"In order to improve the quality of the fusion image between SAR image and infrared image, a novel SAR/infrared image fusion method based on non-subsampled contourlet transform (NSCT) and pulse coupled neural network (PCNN) is proposed. Firstly, this method decomposes the SAR image and infrared image respectively via NSCT. Then PCNN is used as the fusion rule of our method. Finally, the fusion image is obtained by taking the inverse NSCT transform. The results indicate that, compared with other fusion methods, higher resolution fusion image with rich information and strong contrast can be get by the method proposed in this paper.","PeriodicalId":377019,"journal":{"name":"2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A SAR/Infrared Image Fusion Method Based on NSCT and PCNN\",\"authors\":\"Wan Luo, Hongbo Zhang, Jing Ding\",\"doi\":\"10.1109/APSAR46974.2019.9048470\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to improve the quality of the fusion image between SAR image and infrared image, a novel SAR/infrared image fusion method based on non-subsampled contourlet transform (NSCT) and pulse coupled neural network (PCNN) is proposed. Firstly, this method decomposes the SAR image and infrared image respectively via NSCT. Then PCNN is used as the fusion rule of our method. Finally, the fusion image is obtained by taking the inverse NSCT transform. The results indicate that, compared with other fusion methods, higher resolution fusion image with rich information and strong contrast can be get by the method proposed in this paper.\",\"PeriodicalId\":377019,\"journal\":{\"name\":\"2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APSAR46974.2019.9048470\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APSAR46974.2019.9048470","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A SAR/Infrared Image Fusion Method Based on NSCT and PCNN
In order to improve the quality of the fusion image between SAR image and infrared image, a novel SAR/infrared image fusion method based on non-subsampled contourlet transform (NSCT) and pulse coupled neural network (PCNN) is proposed. Firstly, this method decomposes the SAR image and infrared image respectively via NSCT. Then PCNN is used as the fusion rule of our method. Finally, the fusion image is obtained by taking the inverse NSCT transform. The results indicate that, compared with other fusion methods, higher resolution fusion image with rich information and strong contrast can be get by the method proposed in this paper.