Few-Shot Target Recognition of Remote Sensing Images Based on Causal Consistency and Domain-Sensitive Channel Regularization (opens in new tab)

Remote sensing target recognition is significantly impacted by domain shifts between the source domain (SD) and target domain (TD), especially under few-shot conditions, where models struggle to extract effective features. Current methods emphasize extracting features that are invariant across domains, yet they often neglect the influence of domain-sensitive structures within convolutional networks, which hinders the overall generalization performance of the model. To address this issue, a no...