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A case study of the production of an S-57 ENC with CARIS tools
A case study of the production of an S-57 ENC with CARIS tools
Author(s):
Pais
Discipline:
Geodesy & Geomatics
Discipline:
Geodesy & Geomatics
Date:
1998
Type:
Article
The advent of the Electronic Chart Displaying and Information System (ECDIS) and the availability of an accurate positioning...
Sea surface computations from local satellite tracking and satellite altimetry
Sea surface computations from local satellite tracking and satellite altimetry
Author(s):
Delikaraoglou
Discipline:
Geodesy & Geomatics
Discipline:
Geodesy & Geomatics
Date:
1980
Type:
Article
The user of satellite radar altimetry in acquiring geodetic data over oceanic areas is investigated using precise ephemeris...
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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