{"title":"基于小波变换和Haar变换的图像融合:增强Ortophotos中Ikonos图像的空间分辨率","authors":"Rubén Javier Medina Daza, E. Upegui","doi":"10.1109/ICSESS.2016.7883048","DOIUrl":null,"url":null,"abstract":"This article has as a purpose to develop and assess two methodologies that allow to enhance spatial resolution without significant loss of the spectral resolution, with an Ikonos image and a Ortophoto. Using the RGB-IHS transform and the wavelet implementation of the Wavelet TRWH transform (Fast Haar transform) and Haar. Applying the fusion to the intensity components of the multispectral image (Im) and the ones from the ortophoto (Io) through the Wavelet haar transform predefined in Matlab together with the ARSIS technique, a new intensity l is generated respectively. To perform the inverse transforms IHS-RGB and thus obtain an multispectral image. Finally the obtained results are shown with the mathematical-statistical indexes CC, ERGAS, RSE and Qu.","PeriodicalId":175933,"journal":{"name":"2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"41 11","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Image fusion using the Wavelet TRW and Haar transforms: Enhancement of spatial resolution for the Ikonos images from Ortophotos\",\"authors\":\"Rubén Javier Medina Daza, E. Upegui\",\"doi\":\"10.1109/ICSESS.2016.7883048\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article has as a purpose to develop and assess two methodologies that allow to enhance spatial resolution without significant loss of the spectral resolution, with an Ikonos image and a Ortophoto. Using the RGB-IHS transform and the wavelet implementation of the Wavelet TRWH transform (Fast Haar transform) and Haar. Applying the fusion to the intensity components of the multispectral image (Im) and the ones from the ortophoto (Io) through the Wavelet haar transform predefined in Matlab together with the ARSIS technique, a new intensity l is generated respectively. To perform the inverse transforms IHS-RGB and thus obtain an multispectral image. Finally the obtained results are shown with the mathematical-statistical indexes CC, ERGAS, RSE and Qu.\",\"PeriodicalId\":175933,\"journal\":{\"name\":\"2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS)\",\"volume\":\"41 11\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSESS.2016.7883048\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSESS.2016.7883048","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Image fusion using the Wavelet TRW and Haar transforms: Enhancement of spatial resolution for the Ikonos images from Ortophotos
This article has as a purpose to develop and assess two methodologies that allow to enhance spatial resolution without significant loss of the spectral resolution, with an Ikonos image and a Ortophoto. Using the RGB-IHS transform and the wavelet implementation of the Wavelet TRWH transform (Fast Haar transform) and Haar. Applying the fusion to the intensity components of the multispectral image (Im) and the ones from the ortophoto (Io) through the Wavelet haar transform predefined in Matlab together with the ARSIS technique, a new intensity l is generated respectively. To perform the inverse transforms IHS-RGB and thus obtain an multispectral image. Finally the obtained results are shown with the mathematical-statistical indexes CC, ERGAS, RSE and Qu.