{"title":"PolSAR image segmentation — Advanced statistical modelling versus simple feature extraction","authors":"A. Doulgeris, T. Eltoft","doi":"10.1109/IGARSS.2014.6946601","DOIUrl":null,"url":null,"abstract":"In recent years, we have presented many algorithms for polarimetric SAR image segmentation that show the continually improving developments in the field. However, there are two distinct and divergent approaches - one using highly flexible textured models for the covariance matrix statistics (such as the Wishart, K-Wishart, and U-distribution), and the other using simple features extracted from such data (the Extended Polarimetric Feature Space method). In this study we will present a summary and comparison of both approaches and discuss the pros and cons for each with respect to image segmentation applications.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Geoscience and Remote Sensing Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IGARSS.2014.6946601","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
In recent years, we have presented many algorithms for polarimetric SAR image segmentation that show the continually improving developments in the field. However, there are two distinct and divergent approaches - one using highly flexible textured models for the covariance matrix statistics (such as the Wishart, K-Wishart, and U-distribution), and the other using simple features extracted from such data (the Extended Polarimetric Feature Space method). In this study we will present a summary and comparison of both approaches and discuss the pros and cons for each with respect to image segmentation applications.