FR3.R2.1: NEURAL SURFACE RECONSTRUCTION: A GAME CHANGER FOR 3D DATA COLLECTION FROM AIRBORNE IMAGERY?
Norbert Haala, University of Stuttgart, Germany; Mathias Rothermel, Vincent Hackstein, nFrames ESRI, Germany
FR3.R2.2: ENHANCING BUILDING SHAPE DETAILS THROUGH DEEP LEARNING IN SINGLE-IMAGE SAR-BASED DSM
Ksenia Bittner, German Aerospace Center (DLR), Germany; Michael Recla, University of the Bundeswehr Munich, Germany; Stefan Auer, German Aerospace Center (DLR), Germany; Michael Schmitt, University of the Bundeswehr Munich, Germany
FR3.R2.3: A SEMANTIC SEGMENTATION-GUIDED APPROACH FOR GROUND-TO-AERIAL IMAGE MATCHING
Francesco Pro, Sapienza University of Rome, Italy; Nikolaos Dionelis, European Space Agency (ESA), ESRIN, Phi-lab, Italy; Luca Maiano, Sapienza University of Rome, Italy; Bertrand Le Saux, European Space Agency (ESA), ESRIN, Phi-lab, Italy; Irene Amerini, Sapienza University of Rome, Italy
FR3.R2.4: REGISTRATION OF AERIAL AND GROUND IMAGES FOR 3D RECONSTRUCTION USING TIE POINT FILTERING BASED ON REPROJECTION ERRORS
Hwiyoung Kim, Junghoon Sung, InnoPAM, Korea (South); Impyeong Lee, Unviersity of Seoul, Korea (South)
FR3.R2.6: COMPARATIVE ANALYSIS OF ADVANCED FEATURE MATCHING ALGORITHMS IN CHALLENGING HIGH SPATIAL RESOLUTION OPTICAL SATELLITE STEREO SCENARIOS
Qiyan Luo, Jidan Zhang, Yuzhen Xie, Xu Huang, Ting Han, Sun Yat-sen University, China
FR3.R2.7: PSEUDO PANSHARPENING NERF FOR SATELLITE IMAGE COLLECTIONS
Emilie Pic, Thibaud Ehret, Gabriele Facciolo, Roger Marí, Centre Borelli, ENS Paris-Saclay, France
