Self-Supervised Representation Learning for Remote Sensing Image Change Detection Based on Temporal Prediction

Self-Supervised Representation Learning for Remote Sensing Image Change Detection Based on Temporal Prediction

Traditional change detection (CD) methods operate in the simple image domain or hand-crafted features, which has less robustness to the inconsistencies (e.g., brightness and noise distribution, etc.) between bitemporal satellite images. Recently, deep learning techniques have reported compelling per...

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Bibliographic Details
Main Authors:	Huihui Dong, Wenping Ma, Yue Wu, Jun Zhang, Licheng Jiao
Format:	Article
Language:	English
Published:	MDPI AG 2020-06-01
Series:	Remote Sensing
Subjects:	unsupervised change detection generative adversarial networks deep belief networks self-supervised representation learning remote sensing images
Online Access:	https://www.mdpi.com/2072-4292/12/11/1868

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