{"title":"Implementation and evaluation of the High Pass Filter and Wavelet À Trous transforms in Matlab to fusion Landsat 8 OLI/TIRS Satellite Images","authors":"Rubén Javier Medina Daza, E. Upegui","doi":"10.23919/cisti54924.2022.9820476","DOIUrl":null,"url":null,"abstract":"In this article, the High Pass Filter-HPF, and Wavelet À trous transforms are developed mathematically, to later implement them in Matlab. The fusion of satellite images is performed with each one of the implemented transforms, with a proposed methodology. A Landsat 8 OLI/TIRS image (Panchromatic - PAN and multispectral - MULTI) of a northwestern sector of Peru -where sugar cane crops are evident- is used to generate two fused images, namely: MULTIHPF and MULTITWA. The fused images were evaluated both in spatial and spectral quality through four indices, specifically: correlation index, ERGAS, RASE and Q index, in order to determine the efficiency of the proposed methods. Best results of the spectral evaluation were obtained with the MULTITWA image, achieving correlations higher than 0.95, a Q index of 0.96 and a RASE value of 9.2%, while spatially higher values than 0.96. Regarding spatial richness, the best results were obtained with MULTIHPF with an ERGAS of 14.6, a RASE of 29.3% and a Q of 0.7.","PeriodicalId":187896,"journal":{"name":"2022 17th Iberian Conference on Information Systems and Technologies (CISTI)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 17th Iberian Conference on Information Systems and Technologies (CISTI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/cisti54924.2022.9820476","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
In this article, the High Pass Filter-HPF, and Wavelet À trous transforms are developed mathematically, to later implement them in Matlab. The fusion of satellite images is performed with each one of the implemented transforms, with a proposed methodology. A Landsat 8 OLI/TIRS image (Panchromatic - PAN and multispectral - MULTI) of a northwestern sector of Peru -where sugar cane crops are evident- is used to generate two fused images, namely: MULTIHPF and MULTITWA. The fused images were evaluated both in spatial and spectral quality through four indices, specifically: correlation index, ERGAS, RASE and Q index, in order to determine the efficiency of the proposed methods. Best results of the spectral evaluation were obtained with the MULTITWA image, achieving correlations higher than 0.95, a Q index of 0.96 and a RASE value of 9.2%, while spatially higher values than 0.96. Regarding spatial richness, the best results were obtained with MULTIHPF with an ERGAS of 14.6, a RASE of 29.3% and a Q of 0.7.