Mask R-CNN and OBIA Fusion Improves the Segmentation of Scattered Vegetation in Very High-Resolution Optical Sensors

Mask R-CNN and OBIA Fusion Improves the Segmentation of Scattered Vegetation in Very High-Resolution Optical Sensors

Vegetation generally appears scattered in drylands. Its structure, composition and spatial patterns are key controls of biotic interactions, water, and nutrient cycles. Applying segmentation methods to very high-resolution images for monitoring changes in vegetation cover can provide relevant inform...

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Dades bibliogràfiques
Autors principals:	Guirado Hernández, Emilio, Blanco Sacristám, Javier, Rodríguez Caballero, Emilio, Tabik, Siham, Alcaraz Segura, Domingo, Martínez Valderrama, Jaime, Cabello García, Tomás
Format:	info:eu-repo/semantics/article
Idioma:	English
Publicat:	MDPI 2021
Matèries:	deep-learning fusion mask R-CNN object-based optical sensors cattered vegetation very high-resolution
Accés en línia:	http://hdl.handle.net/10835/9269

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