Small infrared maritime target detection based on gradient amplitude difference and multidimensional dissimilarity measure

Ping Yang; Lili Dong; Wenhai Xu

doi:10.1117/12.2623379

16 February 2022 Small infrared maritime target detection based on gradient amplitude difference and multidimensional dissimilarity measure

Ping Yang, Lili Dong, Wenhai Xu

Author Affiliations +

Proceedings Volume 12083, Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021); 120832N (2022) https://doi.org/10.1117/12.2623379
Event: Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021), 2021, Kunming, China

Abstract

Infrared target detection is a key technology in maritime distress target search and tracking systems. Particularly, detecting small targets overwhelmed in heavy waves is an important and challenging task. In order to effectively enhance small infrared maritime target saliency and suppress heavy wave clutter, a small infrared maritime target detection method based on gradient amplitude difference and multidimensional dissimilarity measure is proposed in this paper. Firstly, we employ Sobel operator to measure the gradient amplitude difference (GAD) by calculating minimum component of gradient between horizontal and vertical directions. Meanwhile, we use facet kernel filtering followed by adaptive threshold segmentation to extract the sizes, shapes, and locations of candidate targets; then, multidimensional dissimilarity information, i.e. multi-direction and multi-scale, is constructed based on original infrared image and locations of candidate targets. Multidimensional dissimilarity measure (MDM) achieves target enhancement and background clutter suppression. The final saliency map is obtained by multiplying GAD and MDM. Finally, an adaptive threshold is used to segment targets from residual interferences. Experimental results on three real infrared maritime image sequences show that, the proposed method achieves better performance in terms of local contrast gain, background suppression factor, and detection probability with low false alarm. Our method performs more satisfactorily and robustly than the state-of-the-art methods.

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Ping Yang, Lili Dong, and Wenhai Xu "Small infrared maritime target detection based on gradient amplitude difference and multidimensional dissimilarity measure", Proc. SPIE 12083, Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021), 120832N (16 February 2022); https://doi.org/10.1117/12.2623379

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KEYWORDS

Target detection

Infrared radiation

Infrared imaging

Infrared detectors

Image segmentation

Image enhancement

Image filtering

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