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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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