Generative Adversarial Network for Fine-scale change detection

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Change detection by comparing two bitemporal images is one of the most fundamental challenges for dynamic monitoring of the Earth surface. To achieve this purpose, a seasonal invariant term is introduced to maximally suppress pseudochanges, whereas the MeGAN explores the transition patterns between adjacent images in a self-learning fashion.