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This research work is focussed on the extraction of four types of cartographic elements: water areas, urban areas, wooded areas and linear features such as ...
Sep 14, 2022 · This research presents and proposes an automatic system of cartographic elements extraction from space images, using very high spatial ...
This research work is focus on the extraction of four types of cartographic elements: water areas, urban areas, wooded areas and linear features such as roads ...
Bibliographic details on Cartographic Elements Extraction using High Resolution Remote Sensing Imagery and XML Modeling.
Mar 12, 2007 · Abstract: The aim of this study is to detect man-made cartographic objects in high-resolution satellite images.
Missing: Elements XML
Considering the classification of high spatial resolution remote sensing imagery, this paper presents a novel classification method for such imagery using deep ...
The aim of this work is to propose a novel road extraction method that can efficiently extract the road network from remote sensing imagery with local and ...
Missing: Cartographic | Show results with:Cartographic
Using high resolution imagery should make it possible to detect man made features such as buildings, rivers or roads in an easier way than conventional data.
This article proposes a road extraction method that couples global spatial learning with Fourier frequency domain learning.
To solve this problem, this paper designs a high resolution remote sensing image building extraction method based on Markov model. This method introduces ...
Missing: Cartographic Elements Modeling.