Random Forest and Rotation Forest for fully polarized SAR image classification using polarimetric and spatial features

Peijun Du; Alim Samat; Björn Waske; Sicong Liu; Zhenhong Li

doi:10.1016/j.isprsjprs.2015.03.002

Keywords

Random forestSupport vector machinePolarimetryRemote sensingComputer sciencePattern recognition (psychology)Contextual image classificationArtificial intelligenceWishart distributionSpatial analysisNaive Bayes classifierClassifier (UML)ScatteringMachine learningGeographyImage (mathematics)PhysicsMultivariate statistics

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Publication Info

Year: 2015
Type: article
Volume: 105
Pages: 38-53
Citations: 454
Access: Closed

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APA Style

                            
                                    Peijun Du, 
                                
                                    Alim Samat, 
                                
                                    Björn Waske
                                
                                et al.
                            
                            (2015). 
                            Random Forest and Rotation Forest for fully polarized SAR image classification using polarimetric and spatial features. 
                            ISPRS Journal of Photogrammetry and Remote Sensing
                            , 105
                            
                            , 38-53.
                            https://doi.org/10.1016/j.isprsjprs.2015.03.002

Identifiers

DOI: 10.1016/j.isprsjprs.2015.03.002