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Web-based flood risk assessment- rapid, user-friendly tools leveraging open data
Web-based flood risk assessment- rapid, user-friendly tools leveraging open data
Author(s):
McGrath
Discipline:
Geodesy & Geomatics
Discipline:
Geodesy & Geomatics
Date:
2017
Type:
Technical Report
Timely and accurate prediction of flood inundation extent and potential negative impacts and consequences is fundamental for...
Building detection in off-nadir very high resolution satellite images based on stereo 3D information
Building detection in off-nadir very high resolution satellite images based on stereo 3D information
Author(s):
Suliman
Discipline:
Geodesy & Geomatics
Discipline:
Geodesy & Geomatics
Date:
2017
Type:
Technical Report
Mapping or updating maps of urban areas is crucial for urban planning and management. Since buildings are the main objects in...
Multigranularity Multiclass-Layer Markov Random Field Model for Semantic Segmentation of Remote Sensing Images
Multigranularity Multiclass-Layer Markov Random Field Model for Semantic Segmentation of Remote Sensing Images
Author(s):
Zheng, Zhang, Wang
Discipline:
Geodesy & Geomatics
Discipline:
Geodesy & Geomatics
Date:
2020-11-11
Type:
Article
Semantic segmentation is one of the most important tasks in remote sensing. However, as spatial resolution increases,...
A Multi-Feature Fusion Using Deep Transfer Learning for Earthquake Building Damage Detection
A Multi-Feature Fusion Using Deep Transfer Learning for Earthquake Building Damage Detection
Author(s):
Abdi, Jabari
Discipline:
Geodesy & Geomatics
Discipline:
Geodesy & Geomatics
Date:
2021-05-25
Type:
Article
With the recent tremendous improvements in the spatial, spectral, and temporal resolutions of remote sensing imaging systems,...
Generating LoD2 City Models Using a Hybrid-Driven Approach: A Case Study for New Brunswick Urban Environment
Generating LoD2 City Models Using a Hybrid-Driven Approach: A Case Study for New Brunswick Urban Environment
Author(s):
Krafczek, Jabari
Discipline:
Geodesy & Geomatics
Discipline:
Geodesy & Geomatics
Date:
2022
Type:
Article
Today 55% of the world's population lives in urban areas, a proportion that is expected to increase to 68% by 2050 (UN, 2018)...
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