International audienceData is the central element of a geographic information system (GIS) and its cost is often high because of the substantial investment that allows its production. However, these data are often restricted to a service or a category of users. This has highlighted the need to propose and optimize the means of enriching spatial information relevant to a larger number of users. In this chapter, a data enrichment approach that integrates recent advances in machine learning; more precisely, the use of deep learning to optimize the enrichment of GDBs is proposed, specifically, during the topic identification phase. The evaluation of the approach was completed showing its performance
<p>This paper presents a conceptual model and a proof-of-concept implementation of a novel approach ...
Density-based clustering algorithms have been the most commonly used algorithms for discovering regi...
Many regions around the world suffer from a lack of authoritatively-collected data on factors critic...
Advances in machine learning research are pushing the limits of geographical information sciences (G...
Code and data for the paper "Enriching the metadata of map images: a deep learning approach with GIS...
Geospatial data collection and mapping are considered to be one of the key tasks for many users of ...
International audienceThe automation of map generalization has been keeping researchers in cartograp...
Geocoding is an essential procedure in geographical information retrieval to associate place names w...
The interaction of Deep Learning (DL) methods with Geographical Information System (GIS) provides th...
Geographic information systems (GIS) deal with collecting, modeling, man- aging, analyzing, and inte...
The amount of available geospatial data grows at an ever faster pace. This leads to a constantly inc...
10.1109/ICME.2017.8019376IEEE International Conference on Multimedia and Expo (ICME)1015-102
The goal of this NCGIA-Varenius workshop and research initiative was to find new automated methods f...
Geospatial artificial intelligence sometimes referred to as geoAI is recently receiving so much atte...
The automation of geoinformation (GI) collection and interpretation has been a fundamental goal for ...
<p>This paper presents a conceptual model and a proof-of-concept implementation of a novel approach ...
Density-based clustering algorithms have been the most commonly used algorithms for discovering regi...
Many regions around the world suffer from a lack of authoritatively-collected data on factors critic...
Advances in machine learning research are pushing the limits of geographical information sciences (G...
Code and data for the paper "Enriching the metadata of map images: a deep learning approach with GIS...
Geospatial data collection and mapping are considered to be one of the key tasks for many users of ...
International audienceThe automation of map generalization has been keeping researchers in cartograp...
Geocoding is an essential procedure in geographical information retrieval to associate place names w...
The interaction of Deep Learning (DL) methods with Geographical Information System (GIS) provides th...
Geographic information systems (GIS) deal with collecting, modeling, man- aging, analyzing, and inte...
The amount of available geospatial data grows at an ever faster pace. This leads to a constantly inc...
10.1109/ICME.2017.8019376IEEE International Conference on Multimedia and Expo (ICME)1015-102
The goal of this NCGIA-Varenius workshop and research initiative was to find new automated methods f...
Geospatial artificial intelligence sometimes referred to as geoAI is recently receiving so much atte...
The automation of geoinformation (GI) collection and interpretation has been a fundamental goal for ...
<p>This paper presents a conceptual model and a proof-of-concept implementation of a novel approach ...
Density-based clustering algorithms have been the most commonly used algorithms for discovering regi...
Many regions around the world suffer from a lack of authoritatively-collected data on factors critic...