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Communication Dans Un Congrès Année : 2019

The key-issues of the Geographic Knowledge in Remote Sensing Image Processing Artificial Intelligence

Résumé

One of the key-issues of the performance and efficiency of the artificial intelligence models developed for the recognition, mapping and modelling of the territorial transformation and geographic changes concern the building and the efficiency of the geographic knowledge databases. This presentation focusing on the creation, implementation and performances of the join knowledge databases (spectral, morphometric, socio-economic, perception modelling, and geo-linguistics) for the object recognition and spatial analysis, but as well as the development of geo-simulation models based on machine learning and deep learning applied to the urban areas. One of the way explored is based on the geographic ontologies.
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Dates et versions

hal-02396728 , version 1 (27-03-2023)

Identifiants

  • HAL Id : hal-02396728 , version 1

Citer

Sébastien Gadal. The key-issues of the Geographic Knowledge in Remote Sensing Image Processing Artificial Intelligence. ISPRAS Open Conference 2019: 25 Anniversary of the Ivannikov Institute for Systems Programming of the RAS, Russian Academy of Sciences, Dec 2019, Moscou, Russia. ⟨hal-02396728⟩
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