Browsing Geography and Environmental Management by Subject "deep learning"
Now showing items 1-8 of 8
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Building Detection from Very High Resolution Remotely Sensed Imagery Using Deep Neural Networks
(University of Waterloo, 2019-04-30)The past decades have witnessed a significant change in human societies with a fast pace and rapid urbanization. The boom of urbanization is contributed by the influx of people to the urban area and comes with building ... -
Deep Learning for 3D Information Extraction from Indoor and Outdoor Point Clouds
(University of Waterloo, 2021-01-07)This thesis focuses on the challenges and opportunities that come with deep learning in the extraction of 3D information from point clouds. To achieve this, 3D information such as point-based or object-based attributes ... -
Extraction of Digital Terrain Models from Airborne Laser Scanning Data based on Transfer-Learning
(University of Waterloo, 2019-04-30)With the rapid urbanization, timely and comprehensive urban thematic and topographic information is highly needed. Digital Terrain Models (DTMs), as one of unique urban topographic information, directly affect subsequent ... -
Integration of Satellite Data, Physically-based Model, and Deep Neural Networks for Historical Terrestrial Water Storage Reconstruction
(University of Waterloo, 2021-04-08)Terrestrial water storage (TWS) is an essential part of the global water cycle. Long-term monitoring of observed and modeled TWS is fundamental to analyze droughts, floods, and other meteorological extreme events caused ... -
Land Disturbance Extraction in Alberta Oil Sands Satellite Imagery
(University of Waterloo, 2021-12-10)Tracking and mapping land disturbances from oil and gas development are critical to environmental assessments and land reclamation. Manual extraction of land disturbances is costly, time-consuming, and requires updating ... -
Line-based deep learning method for tree branch detection from digital images
(Elsevier, 2022-06)Preventive maintenance of power lines, including cutting and pruning of tree branches, is essential to avoid interruptions in the energy supply. Automatic methods can support this risky task and also reduce time consuming. ... -
Optimization of Rooftop Delineation from Aerial Imagery with Deep Learning
(University of Waterloo, 2023-08-21)High-definition (HD) maps of building rooftops or footprints are important for urban application and disaster management. Rapid creation of such HD maps through rooftop delineation at the city scale using high-resolution ... -
Temporal Deep Learning Approach to Bedfast and Floating Thermokarst Lake Ice Mapping using SAR imagery: Old Crow Flats, Yukon, Canada
(University of Waterloo, 2021-09-17)Lake ice is a fundamental part of the freshwater processes in cold regions and a sensitive indicator of climate change. As such, in light of the recent climate warming, monitoring of lake ice in arctic and sub-arctic regions ...