Affiliation:
1. State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, National University of Defense Technology, Changsha 410076, China
2. National Key Laboratory of Science and Technology on ATR, National University of Defense Technology, Changsha 410076, China
Abstract
In radar electronic countermeasures, as the difference between jamming and targets continues to decrease, traditional methods that are implemented based on classical features are currently unable to meet the requirements of jamming detection. Compared with classical features such as texture, scale, and shape, shadow has better discernability and separability. In this paper, target shadow is investigated and applied to detect jamming in Synthetic Aperture Radar (SAR) images, and a SAR false target identification method based on shadow features is proposed. First, a difference image is generated by change detection, which can extract the shadow region in single-time SAR images. Then, a three-step differentiation condition is proposed, which can distinguish false targets from real targets. Simulated experimental results show that the proposed method can effectively extract the shadow region in SAR images and accurately distinguishreal and false targets. Furthermore, the potential of shadow in SAR image interpretation and electronic countermeasures is also demonstrated.
Subject
General Earth and Planetary Sciences
Reference28 articles.
1. A Tutorial on Synthetic Aperture Radar;Moreira;IEEE Geosci. Remote Sens. Mag.,2013
2. Recent Advances in Synthetic Aperture Radar Remote Sensing—Systems, Data Processing, and Applications;Sun;IEEE Geosci. Remote Sens. Lett.,2017
3. A review of synthetic aperture radar jamming technique;Yongzhen;J. Radars,2020
4. Li, Y.-C. (2013). Active Deceptive Jamming against SAR Based on Convolutional Modulation. [Master Dissertation, National University of Defense Technology].
5. A Review of SAR Images Understanding and Interpretation;Jiao;Chin. J. Electron.,2005