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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Dettagli Bibliografici
Autori principali:	Guirado Hernández, Emilio, Blanco Sacristám, Javier, Rodríguez Caballero, Emilio, Tabik, Siham, Alcaraz Segura, Domingo, Martínez Valderrama, Jaime, Cabello García, Tomás
Natura:	info:eu-repo/semantics/article
Lingua:	English
Pubblicazione:	MDPI 2021
Soggetti:	deep-learning fusion mask R-CNN object-based optical sensors cattered vegetation very high-resolution
Accesso online:	http://hdl.handle.net/10835/9269

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