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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發表在:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Main Authors:	Pedro Juan Soto Vega, Gilson Alexandre Ostwald Pedro da Costa, Mabel Ximena Ortega Adarme, Jose David Bermudez Castro, Raul Queiroz Feitosa
格式:	Article
語言:	英语
出版:	IEEE 2023-01-01
主題:	Change detection (CD) deep learning (DL) deforestation detection domain adaptation (DA) weak supervision
在線閱讀:	https://ieeexplore.ieee.org/document/10295968/