{"title":"基于多特征的城市遥感图像融合","authors":"Xu-Hong Yang, Gang Liu, F. Huang","doi":"10.1109/ICWAPR.2010.5576429","DOIUrl":null,"url":null,"abstract":"In order to get high-resolution multispectral images, multispectral and panchromatic images are fused. The high frequency parts are fused by a fuzzy rule, low frequency parts fusion is performed by means of a weighted average. Experiments indicates that the fusion algorithm can obtain better results.","PeriodicalId":219884,"journal":{"name":"2010 International Conference on Wavelet Analysis and Pattern Recognition","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Urban remote image fusion based on multi-characteristics\",\"authors\":\"Xu-Hong Yang, Gang Liu, F. Huang\",\"doi\":\"10.1109/ICWAPR.2010.5576429\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to get high-resolution multispectral images, multispectral and panchromatic images are fused. The high frequency parts are fused by a fuzzy rule, low frequency parts fusion is performed by means of a weighted average. Experiments indicates that the fusion algorithm can obtain better results.\",\"PeriodicalId\":219884,\"journal\":{\"name\":\"2010 International Conference on Wavelet Analysis and Pattern Recognition\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Wavelet Analysis and Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICWAPR.2010.5576429\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Wavelet Analysis and Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICWAPR.2010.5576429","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Urban remote image fusion based on multi-characteristics
In order to get high-resolution multispectral images, multispectral and panchromatic images are fused. The high frequency parts are fused by a fuzzy rule, low frequency parts fusion is performed by means of a weighted average. Experiments indicates that the fusion algorithm can obtain better results.