210 citations · 477 across the 5 of their papers we have counts for
5 papers
Generative Artificial Intelligence Meets Synthetic Aperture Radar: A Survey
Zhongling Huang, Xidan Zhang, Zuqian Tang +3
SAR images possess unique attributes that present challenges for both human observers and vision AI models to interpret, owing to their electromagnetic characteristics. The interpr…
Explainable, Physics Aware, Trustworthy AI Paradigm Shift for Synthetic Aperture Radar
Mihai Datcu, Zhongling Huang, Andrei Anghel +2
The recognition or understanding of the scenes observed with a SAR system requires a broader range of cues, beyond the spatial context. These encompass but are not limited to: imag…
Physically Explainable CNN for SAR Image Classification
Zhongling Huang, Xiwen Yao, Ying Liu +3
Integrating the special electromagnetic characteristics of Synthetic Aperture Radar (SAR) in deep neural networks is essential in order to enhance the explainability and physics aw…
Classification of Large-Scale High-Resolution SAR Images with Deep Transfer Learning
Zhongling Huang, Corneliu Octavian Dumitru, Zongxu Pan +2
The classification of large-scale high-resolution SAR land cover images acquired by satellites is a challenging task, facing several difficulties such as semantic annotation with e…
What, Where and How to Transfer in SAR Target Recognition Based on Deep CNNs
Zhongling Huang, Zongxu Pan, Bin Lei
Deep convolutional neural networks (DCNNs) have attracted much attention in remote sensing recently. Compared with the large-scale annotated dataset in natural images, the lack of…