{"title":"Landsat 8 OLI/TIRS卫星图像融合的高通滤波器和小波À Trous变换Matlab实现与评价","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":"{\"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}","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}
Implementation and evaluation of the High Pass Filter and Wavelet À Trous transforms in Matlab to fusion Landsat 8 OLI/TIRS Satellite Images
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.