no code implementations • 11 Jul 2023 • Zhengxin Lei, Feng Xu, Jiangtao Wei, Feng Cai, Feng Wang, Ya-Qiu Jin
SAR images are highly sensitive to observation configurations, and they exhibit significant variations across different viewing angles, making it challenging to represent and learn their anisotropic features.
no code implementations • 24 Jan 2019 • Shilei Fu, Feng Xu, Ya-Qiu Jin
This paper attempts to develop machine intelligence that are trainable with large-volume co-registered SAR and optical images to translate SAR image to optical version for assisted SAR image interpretation.
no code implementations • 8 Jan 2019 • Shilei Fu, Feng Xu, Ya-Qiu Jin
This paper attempts to develop machine intelligence that are trainable with large-volume co-registered SAR and optical images to translate SAR image to optical version for assisted SAR interpretation.
no code implementations • 22 Jul 2017 • Qian Song, Feng Xu, Ya-Qiu Jin
Both qualitative and quantitative experiments with real fully polarimetric data are conducted to show the efficacy of the proposed method.