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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,...
Atmospheric delay modelling for ground-based GNSS reflectometry
Atmospheric delay modelling for ground-based GNSS reflectometry
Author(s):
Nikolaidou
Discipline:
Geodesy & Geomatics
Discipline:
Geodesy & Geomatics
Date:
2020
Type:
Thesis / Dissertation
Several studies have demonstrated the utility of global navigation satellite system reflectometry (GNSS-R) for ground-based...
On environmental adaptation in GNSS-based integrated navigation systems
On environmental adaptation in GNSS-based integrated navigation systems
Author(s):
Smolyakov
Discipline:
Geodesy & Geomatics
Discipline:
Geodesy & Geomatics
Date:
2020
Type:
Thesis / Dissertation
The most efficient positioning and navigation solutions for mass-market applications are based on integration of data...
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,...
Quantified self: building a multi-time window analytical workflow for clustering wearable data streams
Quantified self: building a multi-time window analytical workflow for clustering wearable data streams
Author(s):
McCully
Discipline:
Geodesy & Geomatics
Discipline:
Geodesy & Geomatics
Date:
2021
Type:
Thesis / Dissertation
A new research domain known as the Quantified Self has recently emerged and is described as gaining self-knowledge through...
Simulation and prototyping of integration methods between GNSS, INS, and signals-of-opportunity sources
Simulation and prototyping of integration methods between GNSS, INS, and signals-of-opportunity sources
Author(s):
Mendonça
Discipline:
Geodesy & Geomatics
Discipline:
Geodesy & Geomatics
Date:
2020
Type:
Thesis / Dissertation
Seamless positioning and navigation are a recurring academic and industrial challenge due to single sensor solutions'...
Terrestial implementation of UNB Super Camera and improvements to UNB-PanSharp
Terrestial implementation of UNB Super Camera and improvements to UNB-PanSharp
Author(s):
Adham Khiabani
Discipline:
Geodesy & Geomatics
Discipline:
Geodesy & Geomatics
Date:
2015
Type:
Thesis / Dissertation
Camera sensitivity is a significant challenge for many imaging applications, especially in low light conditions. Image...
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)...
Data stream affinity propagation for clustering indoor space localization data
Data stream affinity propagation for clustering indoor space localization data
Author(s):
Eshraghi Ivari
Discipline:
Geodesy & Geomatics
Discipline:
Geodesy & Geomatics
Date:
2021
Type:
Thesis / Dissertation
In the age of Internet of Things, the ability to find spatio-temporal patterns of people and devices moving in indoor spaces...
Dynamic flood mapping using hydrological modeling and machine learning
Dynamic flood mapping using hydrological modeling and machine learning
Author(s):
Esfandiari
Discipline:
Geodesy & Geomatics
Discipline:
Geodesy & Geomatics
Date:
2021
Type:
Thesis / Dissertation
Flooding is one of the most devastating natural hazards around the globe. Having access to abundant sources of data such as...
Building detection in off-nidar very high resolution satellite images based on stereo 3D information
Building detection in off-nidar very high resolution satellite images based on stereo 3D information
Author(s):
Suliman
Discipline:
Geodesy & Geomatics
Discipline:
Geodesy & Geomatics
Date:
2017
Type:
Thesis / Dissertation
Mapping or updating maps of urban areas is crucial for urban planning and management. Since buildings are the main objects in...

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