Multi-Band Polarization Imaging in a Harsh Sea Fog Environment

Fu, Qiang; Liu, Nan; Guo, Hongrui; Liu, Xuanwei; Yan, Yujiaqi; Geng, Deqin; Zhang, Su; Jin, Zuanming; Jin, Depeng

doi:10.3390/app13010202

Cited by 4 publications

(3 citation statements)

References 12 publications

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“…Recall [26]: The prediction result is the proportion of the actual number of positive samples in the positive samples compared to the positive samples in the whole sample: Recall = (True Positive)/(True Positive + False Negative).…”

Section: Assessment Criteriamentioning

confidence: 99%

Enhanced Infrared Detection Algorithm for Weak Targets in Complex Backgrounds

Zou,

Ma,

Yang

et al. 2023

Electronics

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In this article, we design a new lightweight infrared optical system that fully meets airborne settings and greatly reduces the collection of invalid information. This new system targets the technical problems of stray light, strong invalid information, weak texture information of small targets, and low intensity of valid information under a complex background, which lead to difficult identification of small targets. Image enhancement of weak, small targets against complex backgrounds has been the key to improving small-target search and tracking technology. For the complex information that is still collected, an improved two-channel image enhancement processing algorithm is proposed: the A-channel adopts an improved nonlinear diffusion method and improved curvature filtering, and the B-channel adopts bootstrap filtering and a local contrast enhancement algorithm. The weak target is then extracted by the algorithm of weighted superposition. The false alarm rate is effectively weakened, and robustness is improved. As a result of the experimental data analysis, the method can effectively extract the weak targets in complex backgrounds, such as artificial backgrounds, surface vegetation, etc., enlarge the target gray value, and reduce Fa by 56%, compared with other advanced methods, while increasing Pd by 17%. The algorithm proposed in this paper is of great significance and value for weak target identification and tracking, and it has been successfully applied to industrial detection, medical detection, and in the military field.

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Section: Assessment Criteriamentioning

confidence: 99%

Enhanced Infrared Detection Algorithm for Weak Targets in Complex Backgrounds

Zou,

Ma,

Yang

et al. 2023

Electronics

Self Cite

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“…Tominaga studied the spatial distribution of the degree of polarization of the reflected light on the target surface, and obtained that the metal and nonmetal material targets can be classified by using the degree of the polarization image [14]. Qiang Fu used multibands as factors; the benefit of polarization imaging in a sea fog environment was assessed objectively using contrast, information entropy, degree of polarization, and other evaluation indices [15]. Through theoretical analysis, Ren conducted polarization imaging experiments on water bodies with different turbidity and different materials.…”

Section: Introductionmentioning

confidence: 99%

Polarization Imaging Method for Underwater Low-Visibility Metal Target Using Focus Dividing Plane

Xue

Zhao

et al. 2023

Applied Sciences

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Aiming at the problems of brightness attenuation and contrast reduction in the target image caused by underwater low-visibility environments, a metal target detection method based on split-focus plane polarization imaging is proposed. Firstly, a hybrid enhancement method is proposed to clarify the degraded polarization image. In this study, the GrayWorld method is improved to compensate the attenuation difference of the total light intensity of the polarization image. Variational contrast and saturation enhancement algorithms are used to reduce the underwater scattering effect; secondly, a split-focus plane polarization imaging system is built to complete the control of camera parameters, polarization image acquisition and information processing. Under different underwater low-visibility conditions, polarization imaging of targets with different materials can be realized; finally, an image quality evaluation system is constructed to compare the light intensity and degree of polarization images that are collected by the focal plane polarization imaging system. The polarization characteristics of metal and nonmetal target plates are analyzed. The results show that under the condition of low visibility, the obtained polarization image contrast of the metal target is relatively high, and its EME, information entropy and average gradient are increased by 183.82%, 53.46% and 586.22% on average relative to the image of light intensity. In an underwater low-visibility scene, the method of focal plane polarization imaging proposed in this paper can reduce the difficulty of metal target detection.

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“…Thus, visible light imaging has become an area of active research and application in deep-sea exploration 5 – 7 However, compared to air, visible light transmission in water experiences significant attenuation, while impurity particles in natural water degrade underwater images. The reason for this degradation is due to the reflection and refraction of light reflected by the target on the surface and inside the impurity particles, resulting in multiple reflections and refractions that ultimately mix with the reflected light from the target, thereby deteriorating the image quality 8 , 9 .…”

Section: Introductionmentioning

confidence: 99%

Underwater polarization image restoration based on a partition method

Zhang

Cai

et al. 2023

Opt. Eng.

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The quality of underwater polarization imaging is mainly affected by the polarization properties of the target and impurity particles. Traditional methods often assume uniform polarization characteristics of the target, which make it difficult to address the restoration issues of complex targets. In response, a partition-based method for recovering underwater polarization images is proposed. The method involves preprocessing the image using the Gaussian curvature filtering algorithm, partitioning the image based on polarization information. In addition, a joint image evaluation method is used to achieve restoration of complex polarized characteristic targets. The method estimates the value of the reflected light polarization of one partition to estimate the value of the next partition and links the polarization values of each partition. Our approach achieves clear restoration results for multiple targets or complex structural objects underwater. Achieving significant improvement in image quality in multi-target underwater scenes, our method is highly effective for complex underwater environments. Experimental results show that our method, when compared with three other newer methods on multiple images of different targets and under varying scattering conditions, achieves an average increase of 617% in the standard deviation image evaluation index and a 61% optimization in the natural image quality evaluator index. Furthermore, our method is robust for different degrees of water turbidity.

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Multi-Band Polarization Imaging in a Harsh Sea Fog Environment

Cited by 4 publications

References 12 publications

Enhanced Infrared Detection Algorithm for Weak Targets in Complex Backgrounds

Enhanced Infrared Detection Algorithm for Weak Targets in Complex Backgrounds

Polarization Imaging Method for Underwater Low-Visibility Metal Target Using Focus Dividing Plane

Underwater polarization image restoration based on a partition method

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