Combining Deep Learning and Prior Knowledge for Crop Mapping in Tropical Regions from Multitemporal SAR Image Sequences

Combining Deep Learning and Prior Knowledge for Crop Mapping in Tropical Regions from Multitemporal SAR Image Sequences

Accurate crop type identification and crop area estimation from remote sensing data in tropical regions are still considered challenging tasks. The more favorable weather conditions, in comparison to the characteristic conditions of temperate regions, permit higher flexibility in land use, planning,...

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Bibliographic Details
Main Authors: Laura Elena Cué La Rosa, Raul Queiroz Feitosa, Patrick Nigri Happ, Ieda Del’Arco Sanches, Gilson Alexandre Ostwald Pedro da Costa
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Remote Sensing
Subjects:
crop mapping
tropical agriculture
SAR
deep learning
Sentinel-1
multitemporal image analysis
Online Access:https://www.mdpi.com/2072-4292/11/17/2029

Internet

https://www.mdpi.com/2072-4292/11/17/2029

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