The effectiveness of spectral-spatial feature learning is crucial for the hyperspectral image (HSI) classification task. Diffusion models, as a new class of groundbreaking generative models, have the ...

Transformer-based methods are recently popular in vision tasks because of their capability to model global dependencies alone. However, it limits the performance of networks due to the lack of ...

To overcome the challenges of limited samples, difficult acquisition, under-representation, and labeling in utilizing sonar images and deep learning (DL) for target detection, recognition, and ...

External intrusion incidents pose a severe threat to pipeline security in energy transportation. In response to this, distributed optical fiber sensing technology has been widely studied in the field ...