• The Journal of the Acoustical Society of Korea
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• 제25권3E호
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• pp.115-122
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• 2006

The bistatic scattering of an incident wave by a hemi-spherically capped cylinder is of particular interest because it has rarely been studied until the present day. The configuration of a hemi-spherically capped cylinder is similar to naval underwater weapons (submarines, mines, torpedos, etc.), but which is not exactly the same. This paper describes a novel laboratory experiment aimed at direct measurement of bistatic scattering by a hemi-spherically capped cylinder. Bistatic scattering by a hemi-spherically capped cylinder was measured in an acoustic water tank (5m long, 5m wide, 5m deep) using a high frequency projector (120kHz) and hydrophone. Measurements of monostatic scattering were also made under the same conditions. The bistatic scattering pattern by a hemi-spherically capped cylinder was measured against the incident angles $(0^{\circ},\;15^{\circ},\;20^{\circ},\;30^{\circ},\;45^{\circ},\;60^{\circ},\;90^{\circ})$ in order to verify various scattering pattern characteristics by the change of incident angle. The results indicate that the bistatic scattering TS at a wide scattering angle is much stronger than the mono static scattering TS. In bistatic scattering, the forward scattering TS is significantly stronger than the backward scattering TS, and the forward scattering pattern is also broader. In case of seven incident angles, the maximum value of forward scattering TS is about 14dB stronger than that of backward scattering TS. It is also found that forward scattering varies with the incident angle of sound to a much less extent than backscattering, and it is not seriously affected by the incident angle. These features could be the advantages of using forward scattering for detecting underwater targets at long range and increasing detection area and probability.

• 대한조선학회논문집
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• 제42권5호
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• pp.528-533
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• 2005

A mono-static high frequency acoustic target strength analysis scheme was developed for underwater targets, based on the far-field Kirchhoff approximation. Au adaptive triangular beam method and a concept of virtual surface were adopted for considering the effect of hidden surfaces and multiple reflections of an underwater target, respectively. A test of a simple target showed that the suggested hidden surface removal scheme is valid. Then some numerical analyses, for several underwater targets, were carried out; (1) for several simple underwater targets, like sphere, square plate, cylinder, trihedral corner reflector, and (2) for a generic submarine model, The former was exactly coincident with the theoretical results including beam patterns versus azimuth angles, and the latter suggested that multiple reflections have to be considered to estimate more accurate target strength of underwater targets.

• 반도체디스플레이기술학회지
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• 제23권2호
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• pp.23-27
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• 2024

Underwater images are typically degraded due to color distortion, light absorption, scattering, and noise from artificial light sources. Restoration of these images is an essential task in many underwater applications. In this paper, we propose a two-phase deep learning-based method, Underwater Deep Curve Estimation (UWDCE), designed to effectively enhance the quality of underwater images. The first phase involves a white balancing and color correction technique to compensate for color imbalances. The second phase introduces a novel deep learning model, UWDCE, to learn the mapping between the color-corrected image and its best-fitting curve parameter maps. The model operates iteratively, applying light-enhancement curves to achieve better contrast and maintain pixel values within a normalized range. The results demonstrate the effectiveness of our method, producing higher-quality images compared to state-of-the-art methods.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권2호
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• pp.544-564
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• 2022

Underwater images often suffer from color distortion, blurring and low contrast, which is caused by the propagation of light in the underwater environment being affected by the two processes: absorption and scattering. To cope with the poor quality of underwater images, this paper proposes a multiscale fusion underwater image enhancement method based on channel attention mechanism and local binary pattern (LBP). The network consists of three modules: feature aggregation, image reconstruction and LBP enhancement. The feature aggregation module aggregates feature information at different scales of the image, and the image reconstruction module restores the output features to high-quality underwater images. The network also introduces channel attention mechanism to make the network pay more attention to the channels containing important information. The detail information is protected by real-time superposition with feature information. Experimental results demonstrate that the method in this paper produces results with correct colors and complete details, and outperforms existing methods in quantitative metrics.

• 한국정보통신학회논문지
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• 제25권2호
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• pp.327-329
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• 2021

Underwater acoustic communication channel is influenced by environmental parameters such as multipath, background noise and scattering. Therefore, a transmitted signal is influenced by the sea surface and the sea bottom boundaries, and a received signal shows a delay spread. These factors create a noise in the image and degrade the quality of underwater acoustic communication. To solve these problems, in this paper, we evaluate the performance of an underwater acoustic communication model using a denoising auto-encoder used for unsupervised learning. Noise images generated by the underwater multipath channel were collected and used as training data. Experimental results were analyzed as a PSNR parameter that expressed the noise ratio of the two images.

• IEIE Transactions on Smart Processing and Computing
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• 제6권3호
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• pp.141-150
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• 2017

Images obtained from underwater are usually degraded due to the environmental conditions. Some of the typical degradation factors include turbidity and color degradation. These degradations can be attributed to the absorptive and scattering properties of underwater degradation in terms of optical parameters, such as modulation transfer function (MTF), optical transfer function (OTF),point spread function (PSF), and color constancy. In this paper, we use the CODE V optical simulation software to mimic underwater conditions and model the imaging platform, thereby studying various parameters, such as PSF and MTF, and we use the PSF to remove the underwater turbidity. Experimental results show increased performance with the algorithm, compared to other existing methods.

• 한국군사과학기술학회지
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• 제10권3호
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• pp.16-24
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• 2007

The high-frequency analysis method of back-scattering cross section spectrum of rotating targets is established. The time history of the back-scattering cross section is calculated using a quasi-stationary approach, based on a physical optics and a physical theory of diffraction, combining an adaptive triangular beam method to consider the shadow effect. And the spectra of back-scattering cross section by the Doppler effect are analyzed applying a simple fast Fourier transform method to its time history. The numerical calculation for rotating targets, such as rotating metal plates and underwater propeller, are carried out. The time history appears to be periodic with respect to the number of wings. The backscattering cross section spectrum level and its frequency shift are dependent on the rotating speed, direction, and the shape of the targets.

• 한국음향학회지
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• 제20권4호
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• pp.94-100
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• 2001

수중 폭발성 음원(SUS: Signals underwater sound)을 이용한 천해 저주파 잔향음 실험을 97년 제주 해역에서 실시하였다. 고유음선 정보에 경계면 반사손실을 보정하여 유효 고유음선을 구하였다. 이것을 기준으로 측정된 신호를 시간영역에서 잡음, 반사, 산란 영역으로 구분하고 각 영역에 대해서 스펙트럼 분석을 실시하였으며 각 영역이 갖는 확률적 특성을 분석하였다. 실험해역은 안정된 해저 형태를 갖는 천해였으므로 산란 신호는 일정한 크기를 갖고 지속적으로 수신되었다. 스펙트럼 분석을 통하여 각 영역별 분포하는 주파수 대역을 확인하였다. 또한 구분된 각 영역에 대해 확률 특성을 분석한 결과 주파수영역의 실수부와 허수부는 각각 정규 분포를 보였으며 그것의 진폭(envelope)은 레일리 분포를 나타냈다. 또한 산란신호의 위상은 유니폼 분포 특성을 나타내어 잔향음의 확률 분포 특성을 잘 반영하고 있었다.

• 한국전자통신학회논문지
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• 제10권5호
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• pp.645-652
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• 2015

양식장 또는 바다와 같은 수중은 물방울과 다양한 부유물에 의하여 탁도가 높아지므로, 깊이에 따라 빛의 감쇠가 발생하고 부유물에 의한 빛의 산란 효과도 발생한다. 본 논문에서는 이러한 수중 환경에서 획득한 수중 영상의 가시성을 개선하기 위하여, dark channel prior 개념을 이용한 안개 제거 방법과 학습된 색상 변환 모델을 이용하여 색을 복원하는 수중 영상의 가시성 개선 방법을 제안하였다. 색상 변환 모델을 학습하기 위하여 여수와 포항에서 획득한 수중 패턴 영상을 사용하였으며, 제안 방법의 제안된 방법의 성능을 측정하기 위하여 여수, 거문도, 필리핀 등에서 수집한 수중 영상을 사용하여 가시성 개선 실험을 수행하였다. 실험 결과 제안 방법이 다양한 장소에서 수집된 수중 영상의 가시성을 개선시킴을 확인하였다.

• 한국음향학회지
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• 제38권5호
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• pp.494-510
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• 2019

수중음향통신시스템의 모뎀이나 채널 코딩 설계를 위한 채널 매개변수는 임펄스 응답, 지연 확산, 산란함수, 도플러 확산, 상관 대역폭, 주파수 선택적 페이딩, 상관 시간 및 시변 진폭 페이딩의 통계적 분포 함수 등이다. 이들 매개 변수들은 주어진 해양 음향 조건에서 수층의 음속 구조, 플렛폼의 운동이나 해면의 거칠기에 영향을 받는다. 본 논문에서는 송수신기 고정 천해 수중음향통신 채널에 대한 페이저 기반의 채널 모델과 모의실험 및 채널 매개변수들의 측정과 분석 방법을 제시하고 천해의 실험 자료를 이용하여 이들 매개변수들을 해석하였다. 송수신기 거리가 300 m와 600 m에 대한 이들 매개 변수들은 직접파, 산란 성분을 갖는 해면 반사파 및 해저 반사파로 구성되는 3개 다중 경로에 의해 그 특징이 결정됨을 보인다. 연구의 결과는 천해 고정 시스템의 채널 모델 방법, 채널 매개변수들의 측정과 분석 방법 및 시스템 설계와 성능평가 방법을 제시한다.