Journal
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
Volume 18, Issue 3, Pages 553-557Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LGRS.2020.2976208
Keywords
Clutter; Atmospheric measurements; Object detection; Feature extraction; Length measurement; Gray-scale; Area measurement; Flux of plane vector field; gradient vector field; infrared (IR) target detection; local contrast measure
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Funding
- National Natural Science Foundation of China [61370180]
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In order to overcome the drawbacks of conventional methods for detecting infrared small targets, a novel approach based on local gradient field feature contrast measure (LGFFCM) is proposed. The experimental results indicate that this approach outperforms other advanced methods in reducing false alarm probability and enhancing detection rate effectively and stably.
To overcome the drawbacks of conventional methods to detect infrared (IR) small targets, including high false alarm probability and low detection rate, a novel approach to detect IR small targets based on local gradient field feature contrast measure (LGFFCM) is presented in this letter. First, the distinctive characters of the target, background, and clutter in the infrared gradient vector field (IGVF) are investigated. Next, a local contrast measure based on IGVF features was proposed. Then, an adaptive threshold method to obtain coarse detection results is proposed. Finally, a flux across the plane curve in the IGVF, which can eliminate clutter and enhance target, is defined. The experimental results indicate that the proposed approach shows superiority to other advanced approaches and can effectively and stably reduce false alarm probability and enhance detection rate.
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