WE1.R11.4

EXTRACTING POLYGONS OF VISIBLE CADASTRAL BOUNDARIES USING DEEP LEARNING

Bedru Tareke, Mila Koeva, Claudio Persello, University of Twente, Netherlands
Session:
WE1.R11: Sustainable Development Goals Through Image Analysis and Earth Observation Data Oral
Track:
Community-Contributed Sessions
Location:
Room 106
Presentation Time:
Wed, 19 Jul, 09:06 - 09:18 Pacific Time (UTC -8)
Session Co-Chairs:
Dalton Lunga, Oak Ridge National Laboratory and Ujjwal Verma, Manipal Institute of Technology, India
Session Manager:
HUMAIRA SANAM
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Resources
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Session WE1.R11
WE1.R11.1: THE ITAREO PROJECT: SENTINEL AND SIASGE CONSTELLATIONS FOR SDG MAPPING
Paolo Gamba, University of Pavia, Italy; Maria Laura Carranza, University of Molise, Italy; Giovanni Laneve, Sapienza University of Rome, Italy; Marcelo Scavuzzo, CONAE, Istituto Gulich, Argentina; Anabella Ferral, CONAE, Italy
WE1.R11.2: TOWARDS RAPID RESPONSE UPDATES OF POPULATIONS AT RISK
Marie Urban, Jessica Moehl, Philipe Dias, Joseph Tuccillo, Andrew Reith, Kelly Sims, Sarah Walters, Jacob Arndt, Abhishek Potnis, Dalton Lunga, Oak Ridge National Laboratory, United States
WE1.R11.3: CLASSIFICATION OF TROPICAL DEFORESTATION DRIVERS WITH MACHINE LEARNING AND SATELLITE IMAGE TIME SERIES
Jan Pisl, Lloyd Hughes, Marc Rußwurm, Devis Tuia, Ecole Polytechnique Federale de Lausanne, Switzerland
WE1.R11.4: EXTRACTING POLYGONS OF VISIBLE CADASTRAL BOUNDARIES USING DEEP LEARNING
Bedru Tareke, Mila Koeva, Claudio Persello, University of Twente, Netherlands
WE1.R11.5: A CANONICAL APPROACH FOR QUANTIFYING VALUE OF REMOTE SENSING: IMPLICATIONS FOR INVESTMENTS FOR MONITORING SDGS
Afreen Siddiqi, Rashmi Ravishankar, Seamus Lombardo, Olivier de Weck, Massachusetts Institute of Technology, United States
Resources
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