Change Detection Types of Buildings in Aleppo Citadel Urban Area During Syrian Crisis Using Self-Organizing Maps Neural Networks and VHR Quickbird & Worldview-2 Satellite Images - Archive ouverte HAL
Communication Dans Un Congrès Année : 2021

Change Detection Types of Buildings in Aleppo Citadel Urban Area During Syrian Crisis Using Self-Organizing Maps Neural Networks and VHR Quickbird & Worldview-2 Satellite Images

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Traitement du signal et de l'image [eess.SP] Informatique [cs]

Matthieu Puigt  : Connectez-vous pour contacter le contributeur

https://hal.science/hal-03512221

Soumis le : mercredi 5 janvier 2022-12:02:58

Dernière modification le : lundi 11 mars 2024-13:28:04

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Dates et versions

hal-03512221 , version 1 (05-01-2022)

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Citer

Bashar Sabouh, Ahed Alboody, Mohamad Najib Salah, Ghadir Hmeidan. Change Detection Types of Buildings in Aleppo Citadel Urban Area During Syrian Crisis Using Self-Organizing Maps Neural Networks and VHR Quickbird & Worldview-2 Satellite Images. IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Jul 2021, Brussels, France. pp.4376-4379, ⟨10.1109/IGARSS47720.2021.9554581⟩. ⟨hal-03512221⟩

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