{"title":"Coherence enhancement diffusion for hyperspectral imagery using a spectrally weighted structure tensor","authors":"Maider Marin-McGee, M. Velez-Reyes","doi":"10.1109/WHISPERS.2016.8071727","DOIUrl":null,"url":null,"abstract":"A spectrally weighted structure tensor (SWST) is applied to tensor nonlinear anisotropic diffusion (TAND) for Coherence Enhancing Diffusion (CED). Experiments on spatial enhancement of hyperspectral imagery from thyroid tissue are shown. TAND-CED with a diffusion tensor derived from the SWST is compared with the one using the diffusion tensor derived from the classical (uniformly weighted) structure tensor (CST). Comparisons between methods show that the SWST produces more complete edges with CED.","PeriodicalId":369281,"journal":{"name":"2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WHISPERS.2016.8071727","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
A spectrally weighted structure tensor (SWST) is applied to tensor nonlinear anisotropic diffusion (TAND) for Coherence Enhancing Diffusion (CED). Experiments on spatial enhancement of hyperspectral imagery from thyroid tissue are shown. TAND-CED with a diffusion tensor derived from the SWST is compared with the one using the diffusion tensor derived from the classical (uniformly weighted) structure tensor (CST). Comparisons between methods show that the SWST produces more complete edges with CED.