Background-independent evaluation model for infrared jamming effectiveness of false targets
Source abstract
Abstract
Given the lack of a standardized evaluation system for the infrared jamming effectiveness of false targets, this paper first uses a co-saliency detection model to extract the main parts of the true and false targets. Then the perceptual similarity algorithm is improved by combining the operational requirements of false targets in the infrared band. Finally, a background-independent evaluation model for infrared jamming effectiveness of false targets is constructed. The experimental results show that the model can quantitatively reflect the infrared jamming effectiveness of a single false target and distinguish the infrared jamming effectiveness of different types of false targets. In addition, the model has stronger robustness than traditional evaluation models.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Infrared Target Detection Methodologies · Visual Attention and Saliency Detection · Ocular and Laser Science Research
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Electronic Engineering, National University of Defense Technology 1 , Hefei 230037, China
State Key Laboratory of Pulsed Power Laser Technology 2 , Hefei 230037, China
Infrared and Low Temperature Plasma Key Laboratory of Anhui Province 3 , Hefei 230037, China
Funding
National Natural Science Foundation of China · Natural Science Foundation of Anhui Province
References (18)
Show source-provided references
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