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

TU2.MMA.5

LEVERAGING CONVOLUTIONAL NEURAL NETWORKS FOR SEMANTIC SEGMENTATION OF GLOBAL FLOODS WITH PLANETSCOPE IMAGERY

Nicholas Leach, Philip Popien, Maxwell Goodman, Beth Tellman, Cloud to Street, United States
Session:
Image Feature Estimation Techniques Multimedia In-Person
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Location:
Grand Ballroom 1/2
Presentation Time:
Tue, 19 Jul, 11:00 - 12:00 Malaysia Time (UTC +8)
Tue, 19 Jul, 05:00 - 06:00 Central European Time (UTC +1)
Tue, 19 Jul, 03:00 - 04:00 UTC
Mon, 18 Jul, 23:00 - 00:00 Eastern Time (UTC -5)
Session Chair:
David Huangal, University of Missouri
Session Manager:
Farrah Nurdiana Ibrahim
Presentation
Discussion
Resources
No resources available.
Session TU2.MMA
TU2.MMA.1: Evaluation of Road Segmentation Techniques on Visible and Infrared Low-Altitude UAS Imagery
David Huangal, Grant Scott, University of Missouri, United States; Stanton Price, Engineer Research and Development Center, United States
TU2.MMA.2: ANALYSING THE INTERACTIONS BETWEEN TRAINING DATASET SIZE, LABEL NOISE AND MODEL PERFORMANCE IN REMOTE SENSING DATA
Jonas Gütter, Julia Niebling, German Aerospace Center (DLR), Germany; Xiao Xiang Zhu, Data Science in Earth Observation (SiPEO), Technical University of Munich (TUM); German Aerospace Center (DLR), Germany
TU2.MMA.3: SEGMENTATION OF RAINFALL REGIMES BY MACHINE LEARNING ON A COLOCALIZED NEXRAD/SENTINEL-1 DATASET
Aurélien Colin, Ronan Fablet, Pierre Tandeo, IMT Atlantique, France; Charles Peureux, Romain Husson, Collecte Localisation Satellite, France
TU2.MMA.4: Beyond the Visible Pixels Using Semantic Amodal Segmentation in Remote Sensing Images
Osmar Luiz Carvalho, Osmar Abílio de Carvalho Júnior, Anesmar Albuquerque, Argélica Saiaka Luiz, Nickolas Santana, Dibio Borges, University of Brasília, Brazil
TU2.MMA.5: LEVERAGING CONVOLUTIONAL NEURAL NETWORKS FOR SEMANTIC SEGMENTATION OF GLOBAL FLOODS WITH PLANETSCOPE IMAGERY
Nicholas Leach, Philip Popien, Maxwell Goodman, Beth Tellman, Cloud to Street, United States
TU2.MMA.6: DOMAIN-AGNOSTIC DOMAIN ADAPTION FOR BUILDING FOOTPRINT EXTRACTION
Fahong Zhang, Yilei Shi, Xiaoxiang Zhu, Technique University of Munich, Germany
TU2.MMA.7: Pushing the Limits of Sentinel-2 for Building Footprint Extraction
Christian Ayala, Carlos Aranda, Tracasa Instrumental, Spain; Mikel Galar, Public University of Navarre, Spain
TU2.MMA.8: A ROBUST SUPERVISED METHOD TO ESTIMATE CHLOROPHYLL AB CONTENT FROM SPECTRAL REFLECTANCE.
Bikram Koirala, Paul Scheunders, University of Antwerp, Belgium
TU2.MMA.9: WATER QUALITY RETRIEVAL FROM THE NILE DELTA'S COASTAL AND INLAND WATERS: SENTINEL-3/2 AND LANDSAT-8 OLI SENSOR PERFORMANCE ANALYSIS IN THE COASTAL WATER WITH VALIDATION IN BURULLUS LAKE (EGYPT)
Alaa Masoud, Tanta University, Faculty of Science, Egypt
TU2.MMA.10: ANALYSIS OF SPECTRAL SIMULATION USING DIFFERENT SPECTRAL LIBRARIES
Tee-Ann Teo, Yu-Ju Fu, National Yang Ming Chiao Tung University, Taiwan
TU2.MMA.11: Achieving Information Super-resolution for Sentinel-2 NDVI Through Gaussian Process Regression
Chandrabali Karmakar, Mihai Datcu, German Aerospace Center, Germany; Ana Antunes, SmartRural S.L., Spain
TU2.MMA.12: SUREHYP: A PYTHON PACKAGE TO RETRIEVE SURFACE REFLECTANCE FROM HYPERION IMAGERY
Thomas Miraglio, Nicholas Coops, University of British Columbia, Canada
TU2.MMA.13: A DEEP LEARNING PERSPECTIVE TO ATMOSPHERIC CORRECTION OF SATELLITE IMAGES
Maitrik Shah, Mehul S Raval, Srikrishnan Divakaran, Ahmedabad University, India