Visual transformer with stable prior and patch-level attention for single image dehazing

J Liu, H Yuan, Z Yuan, L Liu, B Lu, M Yu - Neurocomputing, 2023 - Elsevier
Single-image dehazing aims to recover blurred image details and improve image quality,
which is a challenging ill-posed problem due to severe information degradation. In the …

A Generic Cryptographic Deep-Learning Inference Platform for Remote Sensing Scenes

Q Chen, Y Wu, X Wang, ZL Jiang… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Deep learning plays an essential role in multidisciplinary research of remote sensing. We
will encounter security problems during the data acquisition, processing, and result …

A Light-Weighted Hypergraph Neural Network for Multimodal Remote Sensing Image Retrieval

H Yu, C Deng, L Zhao, L Hao, X Liu… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
With the continuous maturity of remote sensing technology, the obtained remote sensing
images' quality and quantity have surpassed any previous period. In this context, the content …

Robust Cross-Modal Remote Sensing Image Retrieval via Maximal Correlation Augmentation

Z Wang, X Wang, G Li, C Li - IEEE Transactions on Geoscience …, 2024 - ieeexplore.ieee.org
Most of existing studies regarding cross-modal content-based remote sensing image
retrieval (CM-CBRSIR) focus on reducing/enlarging the Euclidean distances of cross modal …

Deep Multiscale Fine-Grained Hashing for Remote Sensing Cross-Modal Retrieval

J Huang, Y Feng, M Zhou, X Xiong… - … and Remote Sensing …, 2024 - ieeexplore.ieee.org
Hashing retrieval is a widely used technique in high spatial resolution remote sensing (RS)
images due to its efficient retrieval speed and low memory overhead. However, existing …