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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Bibliographic Details
Main Authors: Emilio Guirado, Javier Blanco-Sacristán, Emilio Rodríguez-Caballero, Siham Tabik, Domingo Alcaraz-Segura, Jaime Martínez-Valderrama, Javier Cabello
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Sensors
Subjects:
deep-learning
fusion
mask R-CNN
object-based
optical sensors
scattered vegetation
Online Access:https://www.mdpi.com/1424-8220/21/1/320

Internet

https://www.mdpi.com/1424-8220/21/1/320

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