• Proceedings of the Korean Society of Fisheries Technology Conference
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• 2001.05a
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• pp.409-410
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• 2001

태평양 해 역은 1985∼1997년간 우리나라 연승어업에 의한 다랑어류 평균 어획량의 55％를 차지하는 중요한 해역으로 눈다랑어와 황다랑어가 전체 어획량의 82.2％ 차지 하고 있다. 따라서 다랑어 연승어업의 중요 어장인 태평양 해역에 대하여 서부∼동부 해역의 적도 주변에서 한국 다랑어 연승어업에 의해 주로 어획되는 황다랑어와 눈다랑어를 대상으로 풍도 변동, 연직분포, 어획 적수온, 수온 변동에 따른 분포 특성 등을 밝혀 동 해역에서 조업하는 다랑어 연승어업의 과학적인 어장 정보 제공과 다랑어류 자원의 효율적 이용 및 관리에 기여하고자 한다. (중략)

• Korean Journal of Remote Sensing
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• v.39 no.6_1
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• pp.1401-1411
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• 2023

In the face of escalating utilization of the marine spatial domain, conflicts have emerged among stakeholders, necessitating effective management strategies beyond conventional government permits and regulations. Particularly within the domain of aquaculture, operational oversight relies on a localized licensing system, posing challenges in accurately assessing the prevailing circumstances. This research employs synthetic aperture radar (SAR) imagery as a tool to monitor coastal aquaculture fish farms, aimed at enhancing insights into management protocols. Leveraging Sentinel-1A imagery and time series SAR data integration, a superimposition technique is utilized, facilitating noise reduction while retaining crucial information regarding smaller-scale facilities, such as fish farms. Through analysis of VH polarization data, a detection overall accuracy of approximately 88% for coastal fish farms was achieved. The findings of this study offer potential applications in the continuous monitoring of aquaculture farms in correspondence with seasonal variations in aquaculture yields, thereby proposing frameworks for the establishment of effective management cycles for marine space utilization.

• Journal of Fisheries and Marine Sciences Education
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• v.10 no.1
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• pp.31-52
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• 1998

In this paper, we analyzed the relationships between the fishing ground formation and the sea condition information, surface, mid and bottom layer temperature that is necessary for fishing point selection of angling to catch squid in the East Sea. There was a little differences between temperature measured by every fishing boat on fishing operating and prompt reports of fishing and sea condition about fishing ground formation of angling. And then the result examined by using SST that is a important information of sea condition for the fishing position selection follows as ; We knew, even if the differencs of sea condition each year, SST with a lot of fishing boats was generally within the extnet of $2^{\circ}C$. But the result examined by the limit time about the temperature of mid and bottom layer for the groups of fishing boats not to measure and for the near sea measurement to be done only within EEZ waters follows as ; About the temperature of 50m layer on early in June and July in operating waters of the group of fishing boats, the fishing ground was formed from $10^{\circ}C$ to $12^{\circ}C$ between warm waters and cold waters, afterwards we can seize that the fishing ground was moving to waters from $5^{\circ}C$ to $8^{\circ}C$ at near of polar front. In the coastal waters, we knew that fishing ground is formed to waters from $10^{\circ}C$ to $12^{\circ}C$ at the southern of polar front about the temperature of 50m layer.

• Proceedings of the Korean Society of Fisheries Technology Conference
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• 2001.10a
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• pp.55-56
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• 2001

최근 선박의 위치정보는 인공위성을 이용한 GPS 및 DGPS 장비를 사용하여 보다 정확한 위치정보를 얻을 수 있을 뿐 만 아니라 첨단 항법장치와 전자산업의 급속한 발전으로 점점더 쉽게 고정도의 위치정보를 언제나 얻을 수 있게 발전하고 있다. 어선어업에 있어서의 조업정보는 과거의 조업정보를 근거로 하는 초기단계의 어군 탐색과정을 거치게 되는데 이러한 조업정보를 자동으로 저장하고 어획자료를 기록하는 장비의 개발을 통하여 보다 편리하게 어장선정을 위한 자료를 도출할 수 있을 것으로 기대된다. (중략)

• The Journal of the Korea Contents Association
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• v.3 no.1
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• pp.71-79
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• 2003

Up to row, researchers have observed experiment environment to study about raising procedure and an ecology of the ocean fishes with naked eye. Then they can monitor status information in only laboratory such as temperatures, image of the fish farm, etc. Such the existing way as this can't observe an ecology of the ocean fishes with scientific and systematic method and moreover it needs many of researchers. So in this paper, we design and implement a fish farm monitoring system which receives status of remote experiment environment through the internet whenever you want it and wherever you want it, and monitors and analyzes its status using embedded system of which the operating system is linux.

• Korean Journal of Remote Sensing
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• v.17 no.1
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• pp.99-109
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• 2001

In order to establish effective fishing ground environment equipment and artificial reef in coastal area, the methodology to select the most suitable area for artificial reef should be applied after analyzing the correlation between fishing ground environment and ocean environment. In this paper, thematic maps were prepared by using satellite remote sensing and GIS for the sea surface temperature, chlorophyll, transparency, the depth of sea water and the condition of submarine geologic which are considered as the most elements when selecting suitable area for artificial reef in Tong-Yong bay. Then, the most suitable area for artificial reef was selected by giving weight score depending on the suitable condition of this area and analyzing spatial data. The results showed it makes possible for this methodology, which selects the suitable area for artificial reef using satellite remote sensing and GIS, to manage the institution of artificial reef more entirely and efficiently through analyzing and visualizing.

• Journal of Advanced Navigation Technology
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• v.27 no.6
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• pp.877-883
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• 2023

For safe operation of ships and management of marine fisheries farms, the data set that extracts the boundaries of marine fisheries farms can provide information on obstacles in the vessel's navigation path in advance by examining whether it matches the fishing ground permit area. In addition, it can be used to determine whether fish farms are operating to compensate for damage caused by marine accidents, and the relevant local government can use it to manage fishing grounds. It is also highly utilized as basic data to identify obstacles for safe navigation of ships. In this study, Sentinel-2 satellite image data from the European Space Agency (ESA) was used to extract the boundaries of fish farms. From the video image, the fish farm's status data by cycle was divided into five zones: Busan-Ulsan area, Geoje-Changwon area, Goseong-Tongyeong area, and Namhae-Sacheon area. Through the image highlighting process, the farm boundary data and meta data were processed and extracted.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.05a
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• pp.104-105
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• 2023

해양 관측과 위성 원격탐사를 이용하여 시공간적으로 다양하게 변하는 생태 어장 환경 및 선박 관련 자료를 획득할 수 있다. 이번 연구의 주요 목적은 야간 불빛 위성 자료를 이용하여 광범위한 해역에 대한 어선의 위치 분포를 파악하는 딥러닝 기반 모델을 제안하는 것이다. 제안한 모델의 정확성을 평가하기 위해 야간 조업 어선의 위치를 포함하고 있는 AIS(Automatic Identification System) 정보와 상호 비교 평가 하였다. 이를 위해, 먼저 AIS 자료를 획득 및 분석하는 방법을 소개한다. 해양안전종합시스템(General Information Center on Maritime Safety & Security, GICOMS)으로부터 제공받은 AIS 자료는 동적정보와 정적정보로 나뉜다. 동적 정보는 일별 자료로 구분되어있으며, 이 정보에는 해상이동업무식별번호(Maritime Mobile Service Identity, MMSI), 선박의 시간, 위도, 경도, 속력(Speed over Ground, SOG), 실침로(Course over Ground, COG), 선수방향(Heading) 등이 포함되어 있다. 정적정보는 1개의 파일로 구성되어 있으며, 선박명, 선종 코드, IMO Number, 호출부호, 제원(DimA, DimB, DimC, Dim D), 홀수, 추정 톤수 등이 포함되어 있다. 이번 연구에서는 선박의 정보에서 어선의 정보를 추출하여 비교 자료로 사용하였으며, 위성 자료는 구름의 영향이 없는 깨끗한 날짜의 영상 자료를 선별하여 사용하였다. 야간 불빛 위성 자료, 구름 정보 등을 이용하여 야간 조업 어선의 불빛을 감지하는 심층신경망(Deep Neural Network; DNN) 기반 모델을 제안하였다. 본 연구의결과는 야간 어선의 분포를 감시하고 한반도 인근 어장을 보호하는데 기여할 것으로 기대된다.

• Proceedings of the Korean Society of Fisheries Technology Conference
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• 2000.05a
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• pp.35-36
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• 2000

해저지형에 관한 정보는 어류의 이동 경로나 정치성 어장 위치의 적절성 등을 판단하는데 중요하게 사용될 뿐만 아니라 선박의 항로, 해양구조물의 건설과도 관련이 있는 귀중한 정보이다. 이 정보는 음향 측심기, DGPS 수신기, 퍼스널 컴퓨터 및 측량용 소프트웨어로 구성되는 시스템을 사용하여 얻었다. 여기서는 현장에서 측정한 해저지형 관련 데이터의 처리에 관해 언급하였다. (중략)

• Proceedings of the Korean Society of Fisheries Technology Conference
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• 2005.05a
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• pp.11-14
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• 2005