MISGNet: A Multilevel Intertemporal Semantic Guidance Network for Remote Sensing Images Change Detection

The precise identification of semantic changes in remote sensing images is of great significance in the domains of urban planning and disaster assessment. Nevertheless, current change detection models are inadequate when it comes to model semantic interactions in pairings of temporal images. This le...

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Bibliographic Details
Main Authors: Binge Cui, Chenglong Liu, Haojie Li, Jianzhi Yu
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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Online Access:https://ieeexplore.ieee.org/document/10771701/
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