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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Bibliografiska uppgifter
Huvudupphovsmän: Guirado Hernández, Emilio, Blanco Sacristám, Javier, Rodríguez Caballero, Emilio, Tabik, Siham, Alcaraz Segura, Domingo, Martínez Valderrama, Jaime, Cabello García, Tomás
Materialtyp: info:eu-repo/semantics/article
Språk:English
Publicerad: MDPI 2021
Ämnen:
deep-learning
fusion
mask R-CNN
object-based
optical sensors
cattered vegetation
very high-resolution
Länkar:http://hdl.handle.net/10835/9269

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