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...

Bibliografski detalji
Glavni autori:	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
Jezik:	English
Izdano:	MDPI 2021
Teme:	deep-learning fusion mask R-CNN object-based optical sensors cattered vegetation very high-resolution
Online pristup:	http://hdl.handle.net/10835/9269

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