4 citations · 5 across the 5 of their papers we have counts for
5 papers
Pattern Integration and Enhancement Vision Transformer for Self-Supervised Learning in Remote Sensing
Kaixuan Lu, Ruiqian Zhang, Xiao Huang +7
Recent self-supervised learning (SSL) methods have demonstrated impressive results in learning visual representations from unlabeled remote sensing images. However, most remote sen…
Aquila: A Hierarchically Aligned Visual-Language Model for Enhanced Remote Sensing Image Comprehension
Kaixuan Lu, Ruiqian Zhang, Xiao Huang +1
Recently, large vision language models (VLMs) have made significant strides in visual language capabilities through visual instruction tuning, showing great promise in the field of…
GLSD: The Global Large-Scale Ship Database and Baseline Evaluations
Zhenfeng Shao, Jiaming Wang, Lianbing Deng +8
In this paper, we introduce a challenging global large-scale ship database (called GLSD), designed specifically for ship detection tasks. The designed GLSD database includes a tota…
Pan-sharpening via High-pass Modification Convolutional Neural Network
Jiaming Wang, Zhenfeng Shao, Xiao Huang +3
Most existing deep learning-based pan-sharpening methods have several widely recognized issues, such as spectral distortion and insufficient spatial texture enhancement, we propose…
Unsupervised Remote Sensing Super-Resolution via Migration Image Prior
Jiaming Wang, Zhenfeng Shao, Tao Lu +3
Recently, satellites with high temporal resolution have fostered wide attention in various practical applications. Due to limitations of bandwidth and hardware cost, however, the s…