WE3.R1.3

D-FAST-SCNN + COMBO LOSS: IMPROVED ROAD MARKING EXTRACTION ON MOBILE LIDAR SPARSE POINT CLOUD-DERIVED IMAGES

Miguel Luis Lagahit, Masashi Matsuoka, Tokyo Institute of Technology, Japan
Session:
WE3.R1: Image Analysis for Urban Infrastructure I Oral
Track:
Data Analysis
Location:
Room B
Presentation Time:
Wed, 19 Jul, 13:24 - 13:36 Pacific Time (UTC -7)
Session Co-Chairs:
Friedrich Fraundorfer, Graz University of Technology and Osmar Carvalho, University of Brasília
Session Manager:
Nandini Saini
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Session WE3.R1
WE3.R1.1: AMODAL SEGMENTATION OF URBAN SURFACES CONSIDERING VISIBLE AND NON-VISIBLE ELEMENTS
Osmar Carvalho, Anesmar Albuquerque, Osmar de Carvalho Junior, University of Brasília, Brazil; Lichao Mou, Technical University of Munich, Germany; Daniel Silva, University of Brasília, Brazil
WE3.R1.2: MEASUREMENT OF INDUSTRIAL SMOKE PLUMES FROM SATELLITE IMAGES
Jiantao Wu, Conor O'Sullivan, University College Dublin, Ireland; Fabrizio Orlandi, The ADAPT SFI Research Centre, Ireland, Ireland; Declan O'Sullivan, Trinity College Dublin, Ireland; Soumyabrata Dev, University College Dublin, Ireland
WE3.R1.3: D-FAST-SCNN + COMBO LOSS: IMPROVED ROAD MARKING EXTRACTION ON MOBILE LIDAR SPARSE POINT CLOUD-DERIVED IMAGES
Miguel Luis Lagahit, Masashi Matsuoka, Tokyo Institute of Technology, Japan
WE3.R1.4: LEVERAGING PHOTOGRAMMETRY FOR EFFICIENT MULTIVIEW IMAGE LABELING
Li Tang, NIcholas Maxwell, John Papadakis, Craig Stutts, Benjamin Raskob, Applied Research Associates, Inc., United States
WE3.R1.5: EXPLORING DISTANCE-AWARE UNCERTAINTY QUANTIFICATION FOR REMOTE SENSING IMAGE CLASSIFICATION
Christoph Koller, German Aerospace Center (DLR), Germany; Peter Jung, Technical University of Berlin, Germany; Xiao Xiang Zhu, Technical University of Munich, Germany
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