ResUNet-a: A deep learning framework for semantic segmentation of remotely sensed data

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Computer scienceSegmentationArtificial intelligenceDeep learningParsingInferenceComputer visionConvolutional neural networkPixelGraphEncoderPattern recognition (psychology)

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Publication Info

Year: 2020
Type: article
Volume: 162
Pages: 94-114
Citations: 1708
Access: Closed

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APA Style

                            
                                    Foivos I. Diakogiannis, 
                                
                                    François Waldner, 
                                
                                    Peter Caccetta
                                
                                et al.
                            
                            (2020). 
                            ResUNet-a: A deep learning framework for semantic segmentation of remotely sensed data. 
                            ISPRS Journal of Photogrammetry and Remote Sensing
                            , 162
                            
                            , 94-114.
                            https://doi.org/10.1016/j.isprsjprs.2020.01.013

Identifiers

DOI: 10.1016/j.isprsjprs.2020.01.013