{"title":"基于分辨率退化和插值调制方法的图像融合","authors":"Wanshou Jiang, Yuan Yan, Feng Zhang, Huixian Wang","doi":"10.1109/GEOINFORMATICS.2011.5980849","DOIUrl":null,"url":null,"abstract":"This paper aims at developing a fusion method based on SVR (Synthetic Variable Ratio) to preserve spatial details and spectral characteristics in image fusion processing, coupling several experiments are conducted for different kinds of sensors (ETM+, QuickBird), and fusion performance evaluation results show that this method is not related to sensor type, spectral region of images and number of multispectral bands, and is more effective than other traditional fusion method in several aspects.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Image fusion based on modulation method with resolution degradation and interpolation\",\"authors\":\"Wanshou Jiang, Yuan Yan, Feng Zhang, Huixian Wang\",\"doi\":\"10.1109/GEOINFORMATICS.2011.5980849\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper aims at developing a fusion method based on SVR (Synthetic Variable Ratio) to preserve spatial details and spectral characteristics in image fusion processing, coupling several experiments are conducted for different kinds of sensors (ETM+, QuickBird), and fusion performance evaluation results show that this method is not related to sensor type, spectral region of images and number of multispectral bands, and is more effective than other traditional fusion method in several aspects.\",\"PeriodicalId\":413886,\"journal\":{\"name\":\"2011 19th International Conference on Geoinformatics\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 19th International Conference on Geoinformatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GEOINFORMATICS.2011.5980849\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 19th International Conference on Geoinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980849","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Image fusion based on modulation method with resolution degradation and interpolation
This paper aims at developing a fusion method based on SVR (Synthetic Variable Ratio) to preserve spatial details and spectral characteristics in image fusion processing, coupling several experiments are conducted for different kinds of sensors (ETM+, QuickBird), and fusion performance evaluation results show that this method is not related to sensor type, spectral region of images and number of multispectral bands, and is more effective than other traditional fusion method in several aspects.
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