B. Aiazzi, L. Alparone, S. Baronti, R. Carlà, A. Garzelli, L. Santurri, M. Selva
{"title":"Effects of multitemporal scene changes on pansharpening fusion","authors":"B. Aiazzi, L. Alparone, S. Baronti, R. Carlà, A. Garzelli, L. Santurri, M. Selva","doi":"10.1109/MULTI-TEMP.2011.6005051","DOIUrl":null,"url":null,"abstract":"Goal of this work is to investigate the effects of temporal misalignments between multispectral (MS) and panchromatic (Pan) observations when they are fused together to yield a pansharpened product. Conversely from the case in which spatial misalignments are present between MS and PAN images, for which the performances of component substitution (CS) fusion methods are recognized better than multiresolution analysis (MRA) schemes [1], both quantitative and qualitative results show that multitemporal misalignments are better compensated by MRA rather than by CS methods.","PeriodicalId":254778,"journal":{"name":"2011 6th International Workshop on the Analysis of Multi-temporal Remote Sensing Images (Multi-Temp)","volume":"264 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 6th International Workshop on the Analysis of Multi-temporal Remote Sensing Images (Multi-Temp)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MULTI-TEMP.2011.6005051","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
Goal of this work is to investigate the effects of temporal misalignments between multispectral (MS) and panchromatic (Pan) observations when they are fused together to yield a pansharpened product. Conversely from the case in which spatial misalignments are present between MS and PAN images, for which the performances of component substitution (CS) fusion methods are recognized better than multiresolution analysis (MRA) schemes [1], both quantitative and qualitative results show that multitemporal misalignments are better compensated by MRA rather than by CS methods.