{"title":"Polarimetric roll-invariant three-component scattering model and application to terrain classification","authors":"Hong-zhong Li, Liming Jiang, Lin Liu","doi":"10.1109/RSETE.2011.5965476","DOIUrl":null,"url":null,"abstract":"Inspired from the Freeman-Durden three-component model, a roll-invariant three-component scattering decomposition model is proposed for polarimetric SAR data in this paper. Three points of modification are included in the model. Firstly, the deorientation procedure is introduced into the scheme to make the decomposition results roll invariant. Secondly, a modified volume scattering covariance matrix is proposed to better match the deorientation volume scattering. Lastly, the symmetry test is introduced to measure the reflection symmetry of the scatterer. Then the roll-invariant model is combined with the maximum likelihood classifier to apply to the terrain and land-use classification.","PeriodicalId":6296,"journal":{"name":"2011 International Conference on Remote Sensing, Environment and Transportation Engineering","volume":"96 1","pages":"5157-5160"},"PeriodicalIF":0.0000,"publicationDate":"2011-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Remote Sensing, Environment and Transportation Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RSETE.2011.5965476","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
Inspired from the Freeman-Durden three-component model, a roll-invariant three-component scattering decomposition model is proposed for polarimetric SAR data in this paper. Three points of modification are included in the model. Firstly, the deorientation procedure is introduced into the scheme to make the decomposition results roll invariant. Secondly, a modified volume scattering covariance matrix is proposed to better match the deorientation volume scattering. Lastly, the symmetry test is introduced to measure the reflection symmetry of the scatterer. Then the roll-invariant model is combined with the maximum likelihood classifier to apply to the terrain and land-use classification.