Semantics-Driven Remote Sensing Scene Understanding Framework for Grounded Spatio-Contextual Scene Descriptions

Earth Observation data possess tremendous potential in understanding the dynamics of our planet. We propose the Semantics-driven Remote Sensing Scene Understanding (Sem-RSSU) framework for rendering comprehensive grounded spatio-contextual scene descriptions for enhanced situational awareness. To mi...

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Autors principals:	Abhishek V. Potnis, Surya S. Durbha, Rajat C. Shinde
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2021-01-01
Col·lecció:	ISPRS International Journal of Geo-Information
Matèries:	remote sensing scene understanding semantics-driven grounded natural language scene descriptions spatio-contextual Scene Knowledge Graphs flood ontology
Accés en línia:	https://www.mdpi.com/2220-9964/10/1/32
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