Evaluation of Deceptive Jamming Effect on SAR Based on Visual Consistency

• Published in: IEEE journal of selected topics in applied earth observations and remote sensing Vol. 14; pp. 12246 - 12262
• Main Authors: Tang, Zhouyang, Yu, Chunrui, Deng, Yunkai, Fang, Tingzhu, Zheng, Huifang
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Consistency; Deception; Deceptive jamming effect evaluation; Detection; detection and recognition; Evaluation; Image quality; Jamming; Radar imaging; Radar polarimetry; Remote sensing; SAR (radar); semantic accuracy; Semantics; Synthetic aperture radar; synthetic aperture radar (SAR); Target recognition; visual consistency (VC); Visualization
• ISSN: 1939-1404; 2151-1535
• DOI: 10.1109/JSTARS.2021.3129494

In complicated electromagnetic environments, synthetic aperture radar (SAR) can be threatened by various kinds of malicious interference,of which deceptive jamming is the intentional and efficient one. For jamming effect evaluation on SAR images, traditional methods are mostly based on the change of image quality, which are not suitable for evaluating the confusion caused by high-fidelity false targets. In this article, a novel framework to evaluate the effect of deceptive jamming on SAR is proposed based on visual consistency. Three levels of vision, namely detection, recognition, and semantics, are fused for efficient deception evaluation along with the corresponding metrics system. Fully considering the imaging characters of deceptive jamming, specifically designed detection and recognition flows are proposed to quantitatively evaluate the deception. Furthermore, to evaluate whether the generated false targets are with reasonable context, an unprecedent concept, named semantic accuracy, is proposed via considerations of statistical differences compared with that of the background template. Besides, the cases of deceptive jamming with several common nonideal issues are considered when evaluating the effects. Sufficient experiments have proved the practicality and superiority of the proposed evaluation framework under different deceptive jamming with various nonideal factors.