Session Title | WE2.R4: Deep Learning for Multispectral Image Analysis II |
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Presentation Mode | Oral |
Session Time | Wednesday, 31 July, 10:40 - 12:20 |
Location | Room 313-314 |
Session Chairs | Devis Tuia, Wageningen and Matthieu Molinier, VTT Technical Research Centre of Finland Ltd |
WE2.R4.1: UNSUPERVISED MULTIPLE-CHANGE DETECTION IN VHR MULTISENSOR IMAGES VIA DEEP-LEARNING BASED ADAPTATION |
Sudipan Saha; Fondazione Bruno Kessler |
Francesca Bovolo; Fondazione Bruno Kessler |
Lorenzo Bruzzone; University of Trento |
WE2.R4.2: FUSING MULTI-SEASONAL SENTINEL-2 IMAGES WITH RESIDUAL CONVOLUTIONAL NEURAL NETWORKS FOR LOCAL CLIMATE ZONE-DERIVED URBAN LAND COVER CLASSIFICATION |
Chunping Qiu; Technical University of Munich (TUM) |
Michael Schmitt; Technical University of Munich (TUM) |
Xiao Xiang Zhu; Technical University of Munich (TUM) |
WE2.R4.3: ROAD MAPPING IN LIDAR IMAGES USING A JOINT-TASK DENSE DILATED CONVOLUTIONS MERGING NETWORK |
Qinghui Liu; Norwegian Computing Center |
Michael Kampffmeyer; Arctic University of Norway |
Robert Jenssen; Arctic University of Norway |
Arnt-Børre Salberg; Norwegian Computing Center |
WE2.R4.4: SEMANTIC VEHICLE SEGMENTATION IN VERY HIGH RESOLUTION MULTISPECTRAL AERIAL IMAGES USING DEEP NEURAL NETWORKS |
Nina Merkle; German Aerospace Center (DLR) |
Seyed Majid Azimi; German Aerospace Center (DLR) |
Sebastian Pless; German Aerospace Center (DLR) |
Franz Kurz; German Aerospace Center (DLR) |
WE2.R4.5: AVOIDING OVERFITTING WHEN APPLYING SPECTRAL-SPATIAL DEEP LEARNING METHODS ON HYPERSPECTRAL IMAGES WITH LIMITED LABELS |
Matthieu Molinier; VTT Technical Research Centre of Finland Ltd |
Jorma Kilpi; VTT Technical Research Centre of Finland Ltd |