activity
20192025
most citedAttentional Feature Refinement and Alignment Network for Aircraft Detection in SAR Imagery

47 citations · 47 across the 5 of their papers we have counts for

collaborators

7 papers

cs.CV2025

Multi-Level Heterogeneous Knowledge Transfer Network on Forward Scattering Center Model for Limited Samples SAR ATR

Chenxi Zhao, Daochang Wang, Siqian Zhang +1

Simulated data-assisted SAR target recognition methods are the research hotspot currently, devoted to solving the problem of limited samples. Existing works revolve around simulate…

eess.IV2025

Fifty Years of SAR Automatic Target Recognition: The Road Forward

Jie Zhou, Yongxiang Liu, Li Liu +6

Synthetic Aperture Radar (SAR) imaging is capable of observing objects in nearly all weather and illumination conditions, and has become an indispensable means of information acqui…

cs.CV2025

MTSGL: Multi-Task Structure Guided Learning for Robust and Interpretable SAR Aircraft Recognition

Qishan He, Lingjun Zhao, Ru Luo +4

Aircraft recognition in synthetic aperture radar (SAR) imagery is a fundamental mission in both military and civilian applications. Recently deep learning (DL) has emerged a domina…

cs.CV2025

Bottom-Up Scattering Information Perception Network for SAR target recognition

Chenxi Zhao, Daochang Wang, Siqian Zhang +1

Deep learning methods based synthetic aperture radar (SAR) image target recognition tasks have been widely studied currently. The existing deep methods are insufficient to perceive…

cs.CV202247 cited

Attentional Feature Refinement and Alignment Network for Aircraft Detection in SAR Imagery

Yan Zhao, Lingjun Zhao, Zhong Liu +3

Aircraft detection in Synthetic Aperture Radar (SAR) imagery is a challenging task in SAR Automatic Target Recognition (SAR ATR) areas due to aircraft's extremely discrete appearan…

cs.CV2020

Adaptive Local Structure Consistency based Heterogeneous Remote Sensing Change Detection

Lin Lei, Yuli Sun, Gangyao Kuang

Change detection of heterogeneous remote sensing images is an important and challenging topic in remote sensing for emergency situation resulting from nature disaster. Due to the d…