Large Language Model-Guided Structural Alignment Domain Adaptation for Open-Set Remote Sensing Scene Classification
Yang Zhao, Gefei Zhang, Jiaqi Liang, Hancheng Ma et autres
For open-set domain adaptation (OSDA) in remote sensing scene classification, it is essential to establish precise semantic boundaries for different scenes. Existing vision–language models usually achieve OSDA with fixed templates based on category labels. However, such templates lead to coarse category representations, …
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing