Denoising and tracking of sonar video imagery for underwater security monitoring systems

Luo, Jun; Liu, Hengli; Huang, Chaojiong; Xie, Shaorong; Li, Hengyu

doi:10.1109/robio.2013.6739796

Cited by 4 publications

(3 citation statements)

References 21 publications

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“…They found as well that SQNR degrades as the correlation coefficient increases, but slightly compared to our system. On the other side, the algorithm presented in [35] can efficiently improve the SQNR of the sonar images.…”

Section: Resultsmentioning

confidence: 99%

Model for Estimation of Bounds in Digital Coding of Seabed Images

Samcovic

2015

RADIOENGINEERING

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This paper proposes the novel model for estimation of bounds in digital coding of images. Entropy coding of images is exploited to measure the useful information content of the data. The bit rate achieved by reversible compression using the rate-distortion theory approach takes into account the contribution of the observation noise and the intrinsic information of hypothetical noise-free image. Assuming the Laplacian probability density function of the quantizer input signal, SQNR gains are calculated for image predictive coding system with non-adaptive quantizer for white and correlated noise, respectively. The proposed model is evaluated on seabed images. However, model presented in this paper can be applied to any signal with Laplacian distribution.

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Section: Resultsmentioning

confidence: 99%

Model for Estimation of Bounds in Digital Coding of Seabed Images

Samcovic

2015

RADIOENGINEERING

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“…Underwater and surface zones should be also monitored; this monitoring is provided by passive and active systems. Such solutions (sonars and magnetic barriers) are used in restricted harbour areas highly sensitive to unauthorized access (e.g., entrances to gas and oil terminals, pipelines, and ships anchored at terminals) [8,9]. A system with integrated passive and active sensors, signal processing, and fusion units should be able to detect and identify surface and underwater targets, including divers [6,7].…”

Section: The Concept Of a Maritime Infrastructure Security Systemmentioning

confidence: 99%

Autonomous Platform to Protect Maritime Infrastructure Facilities

Kozaczka

Grelowska

2019

Polish Maritime Research

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Problems regarding the security of maritime infrastructure, especially harbours and offshore infrastructure, are currently a very hot topic. Due to these problems, there are some research projects in which the main goal is to decrease the gap and improve the methods of observation in the chosen area, for both in-air and underwater areas. The main goal of the paper is to show a new complex system for improving the security of the maritime infrastructure by means of many methods of observation – such as thermovision, optical devices, and radar systems – generally by means of an electromagnetic wave as a carrier of information in the air and acoustical methods in water. The system can be applied to the protection of maritime infrastructure as well as the coastal zone.

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“…Due to the complexity of the seabed environment, there are some problems such as poor contrast of the sonar image, the serious noise of the submarine reverberation, low resolution, strong interference, and less dark pixels [1], in addition to the object's inherent characteristics of reflecting sound waves which result in the incomplete target edge. Since there is too much noise in the sonar image, it is difficult to ensure the correctness of submarine target recognition if we only consider the visual point.…”

Section: Introductionmentioning

confidence: 99%

Automatic Detection Technology of Sonar Image Target Based on the Three-Dimensional Imaging

Kong

Cheng

et al. 2017

Journal of Sensors

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With 3D imaging of the multisonar beam and serious interference of image noise, detecting objects based only on manual operation is inefficient and also not conducive to data storage and maintenance. In this paper, a set of sonar image automatic detection technologies based on 3D imaging is developed to satisfy the actual requirements in sonar image detection. Firstly, preprocessing was conducted to alleviate the noise and then the approximate position of object was obtained by calculating the signal-to-noise ratio of each target. Secondly, the separation of water bodies and strata is realized by maximum variance between clusters (OTSU) since there exist obvious differences between these two areas. Thus image segmentation can be easily implemented on both. Finally, the feature extraction is carried out, and the multidimensional Bayesian classification model is established to do classification. Experimental results show that the sonar-image-detection technology can effectively detect the target and meet the requirements of practical applications.

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Denoising and tracking of sonar video imagery for underwater security monitoring systems

Cited by 4 publications

References 21 publications

Model for Estimation of Bounds in Digital Coding of Seabed Images

Model for Estimation of Bounds in Digital Coding of Seabed Images

Autonomous Platform to Protect Maritime Infrastructure Facilities

Automatic Detection Technology of Sonar Image Target Based on the Three-Dimensional Imaging

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