{"title":"A comparison analysis of pan-sharpening methods on Alsat-2A images","authors":"Abdelwhab Ouahab, M. F. Belbachir","doi":"10.1109/ICMIT47780.2020.9046990","DOIUrl":null,"url":null,"abstract":"The aim of pan-sharpening is to extract the spatial information from the panchromatic image and to inject them into the multispectral images. In this study, seven pan-sharpening techniques are tested on Alsat-2A images. The spectral and spatial qualities of fused images are tested using the Correlation Coefficient (CC), the Structural Similarity (SSIM), spatial correlation coefficient, and the quality with no reference (QNR). A comparative performance analysis of the CC, the SSIM, SCC and the QNR shows that the Brovey and the generalized intensity-hue-saturation (GIHS) perform the best among all the techniques in terms of spatial information. The Additive Trous Wavelet Transform with unitary injection model (ATWT) perform the best among all the techniques in terms of spectral information. The Additive Wavelet Luminance Proportional (AWLP) gives the best balance between the spatial and spectral information.","PeriodicalId":132958,"journal":{"name":"2020 2nd International Conference on Mathematics and Information Technology (ICMIT)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 2nd International Conference on Mathematics and Information Technology (ICMIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMIT47780.2020.9046990","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The aim of pan-sharpening is to extract the spatial information from the panchromatic image and to inject them into the multispectral images. In this study, seven pan-sharpening techniques are tested on Alsat-2A images. The spectral and spatial qualities of fused images are tested using the Correlation Coefficient (CC), the Structural Similarity (SSIM), spatial correlation coefficient, and the quality with no reference (QNR). A comparative performance analysis of the CC, the SSIM, SCC and the QNR shows that the Brovey and the generalized intensity-hue-saturation (GIHS) perform the best among all the techniques in terms of spatial information. The Additive Trous Wavelet Transform with unitary injection model (ATWT) perform the best among all the techniques in terms of spectral information. The Additive Wavelet Luminance Proportional (AWLP) gives the best balance between the spatial and spectral information.
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