Donato Amitrano, G. D. Martino, A. Iodice, D. Riccio, G. Ruello
{"title":"Urban areas enhancement in multitemporal SAR RGB images through a feedback system","authors":"Donato Amitrano, G. D. Martino, A. Iodice, D. Riccio, G. Ruello","doi":"10.1109/JURSE.2015.7120527","DOIUrl":null,"url":null,"abstract":"In this paper we introduce a feedback system for the enhancement of urban areas in Level-1α multitemporal RGB composite. In particular, our method focus on the interferometric coherence, whose estimator performances depends on the dimension of the computation window. The proposed method allows for the mitigation of this problem, reducing speckle and increasing the resolution and the accuracy of the output maps through the generation of an adaptive window, bringing benefits also in the process of buildings extraction.","PeriodicalId":207233,"journal":{"name":"2015 Joint Urban Remote Sensing Event (JURSE)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Joint Urban Remote Sensing Event (JURSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/JURSE.2015.7120527","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
In this paper we introduce a feedback system for the enhancement of urban areas in Level-1α multitemporal RGB composite. In particular, our method focus on the interferometric coherence, whose estimator performances depends on the dimension of the computation window. The proposed method allows for the mitigation of this problem, reducing speckle and increasing the resolution and the accuracy of the output maps through the generation of an adaptive window, bringing benefits also in the process of buildings extraction.