17 citations · 61 across the 8 of their papers we have counts for
6 papers · 1 filter
SAR-NeRF: Neural Radiance Fields for Synthetic Aperture Radar Multi-View Representation
Zhengxin Lei, Feng Xu, Jiangtao Wei +3
SAR images are highly sensitive to observation configurations, and they exhibit significant variations across different viewing angles, making it challenging to represent and learn…
FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in High-Resolution Remote Sensing Imagery
Xian Sun, Peijin Wang, Zhiyuan Yan +11
With the rapid development of deep learning, many deep learning-based approaches have made great achievements in object detection task. It is generally known that deep learning is…
Translating SAR to Optical Images for Assisted Interpretation
Shilei Fu, Feng Xu, Ya-Qiu Jin
Despite the advantages of all-weather and all-day high-resolution imaging, SAR remote sensing images are much less viewed and used by general people because human vision is not ada…
Reciprocal Translation between SAR and Optical Remote Sensing Images with Cascaded-Residual Adversarial Networks
Shilei Fu, Feng Xu, Ya-Qiu Jin
Despite the advantages of all-weather and all-day high-resolution imaging, synthetic aperture radar (SAR) images are much less viewed and used by general people because human visio…
Detecting Tiny Moving Vehicles in Satellite Videos
Wei Ao, Yanwei Fu, Feng Xu
In recent years, the satellite videos have been captured by a moving satellite platform. In contrast to consumer, movie, and common surveillance videos, satellite video can record…
SAR Image Colorization: Converting Single-Polarization to Fully Polarimetric Using Deep Neural Networks
Qian Song, Feng Xu, Ya-Qiu Jin
A deep neural networks based method is proposed to convert single polarization grayscale SAR image to fully polarimetric. It consists of two components: a feature extractor network…