Weakly Supervised Domain Adversarial Neural Network for Deforestation Detection in Tropical Forests

Weakly Supervised Domain Adversarial Neural Network for Deforestation Detection in Tropical Forests

Domain adaptation has proven to be suitable for alleviating domain discrepancies, which hinder the generalization capacity of classifiers. Among a few alternatives, domain adaptation techniques that align features in a domain-agnostic space through adversarial learning have been widely investigated....

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Bibliographic Details
Main Authors: Pedro Juan Soto Vega, Gilson Alexandre Ostwald Pedro da Costa, Mabel Ximena Ortega Adarme, Jose David Bermudez Castro, Raul Queiroz Feitosa
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Change detection (CD)
deep learning (DL)
deforestation detection
domain adaptation (DA)
weak supervision
Online Access:https://ieeexplore.ieee.org/document/10295968/

Internet

https://ieeexplore.ieee.org/document/10295968/

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