17 - 22 July, 2022 • Physical: Kuala Lumpur Convention Centre (KLCC), Kuala Lumpur, Malaysia • Hybrid: Online Platform

Preserving Our Heritage, Enabling Our Future Through Remote Sensing

17 - 22 July, 2022 • Physical: Kuala Lumpur Convention Centre (KLCC), Kuala Lumpur, Malaysia • Hybrid: Online Platform

TU4.O2.4

A TILING-BASED STRATEGY FOR LARGE-SCALE MULTISENSOR OPTICAL-SAR IMAGE REGISTRATION

David Solarna, Luca Maggiolo, Gabriele Moser, Sebastiano Serpico, University of Genoa, Italy
Session:
Image and Data Fusion Oral In-Person
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Location:
Conference Hall 2
Presentation Time:
Tue, 19 Jul, 16:45 - 17:00 Malaysia Time (UTC +8)
Tue, 19 Jul, 10:45 - 11:00 Central European Time (UTC +2)
Tue, 19 Jul, 08:45 - 09:00 UTC
Tue, 19 Jul, 04:45 - 05:00 Eastern Time (UTC -4)
Session Chair:
Mohamed Abderrazak Cherif, Université Côte d’Azur, Géoazur
Session Manager:
Nik Zainun Nik Mood
Presentation
Discussion
Resources
No resources available.
Session TU4.O2
TU4.O2.1: VECTOR MAPS FUSION FOR RELIABLE MAPPING OF BUILDING FOOTPRINTS
Mohamed Abderrazak Cherif, Isabelle Manighetti, Université Côte d’Azur, Géoazur, France; Jean-Philippe Bauchet, Yuliya Tarabalka, LuxCarta Technology, France
TU4.O2.2: DATA AUGMENTATION FOR MULTI-IMAGE SUPER-RESOLUTION
Maciej Ziaja, Jakub Nalepa, Michal Kawulok, KP Labs / Silesian University of Technology, Poland
TU4.O2.3: A REVIEW OF POINT CLOUDS DEEP LEARNING FUSION FOR UNMANNED AERIAL DATA SYSTEMS
Fauzy Othman, PETRONAS, Malaysia; Phil Bartie, Benjamin Kenwright, HERIOT WATT UNIVERSITY, United Kingdom
TU4.O2.4: A TILING-BASED STRATEGY FOR LARGE-SCALE MULTISENSOR OPTICAL-SAR IMAGE REGISTRATION
David Solarna, Luca Maggiolo, Gabriele Moser, Sebastiano Serpico, University of Genoa, Italy
TU4.O2.5: SELF-SUPERVISED PUSH-FRAME SUPER-RESOLUTION WITH DETAIL-PRESERVING CONTROL AND OUTLIER DETECTION
Ngoc Long Nguyen, Jérémy Anger, Axel Davy, Pablo Arias, Gabriele Facciolo, École normale supérieure Paris-Saclay, France
TU4.O2.6: A MULTI-TASK DEEP LEARNING MODEL FOR POPULATION AND LULC (M2PL-NET) PREDICTION WITH SCALING TO A PEOPLE FLOW GRID
Vinayaraj Poliyapram, Jeremiah Anderson, Mayank Bansal, Rakuten Group Inc., Japan