3.2k citations · 3.2k across the 3 of their papers we have counts for
4 papers
Physics-assisted Deep Learning for FMCW Radar Quantitative Imaging of Two-dimension Target
Zhuoyang Liu, Huilin Xu, Feng Xu
Radar imaging is crucial in remote sensing and has many applications in detection and autonomous driving. However, the received radar signal for imaging is enormous and redundant,…
A Tale of Two Cities: Data and Configuration Variances in Robust Deep Learning
Guanqin Zhang, Jiankun Sun, Feng Xu +4
Deep neural networks (DNNs), are widely used in many industries such as image recognition, supply chain, medical diagnosis, and autonomous driving. However, prior work has shown th…
Deep Learning Meets SAR
Xiao Xiang Zhu, Sina Montazeri, Mohsin Ali +6
Deep learning in remote sensing has become an international hype, but it is mostly limited to the evaluation of optical data. Although deep learning has been introduced in Syntheti…
Deep learning in remote sensing: a review
Xiao Xiang Zhu, Devis Tuia, Lichao Mou +4
Standing at the paradigm shift towards data-intensive science, machine learning techniques are becoming increasingly important. In particular, as a major breakthrough in the field,…