• Title, Summary, Keyword: Exploration Method of Seabed

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Study on Exploration Method of Seabed Around Heuksando Using Hover Drones (수면호버링 드론을 이용한 흑산도 해저지형 탐사 기법 연구)

  • Kim, Hyeong-Gyun;Lee, Young-suk
    • Journal of Korea Multimedia Society
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    • v.23 no.1
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    • pp.102-110
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    • 2020
  • This study covers exploration of seabed around Heuksando Island using hover drones. To do so, we inspected the terrain of the island and set autonomous flight waypoints on each area of the island's shores. Next, we designated seabed scan radius for drones. Then the drones fitted with laser sensor hover autonomously on their assigned area and acquire seabed data. Finally, we match the seabed data on all areas according to GPS. Our final goal is to make immersive VR maritime cultural map based on 『Jasan Urbo』.

Correction of Nodule Abundance Using Image Analysis Technique on Manganese Nodule Deposits (영상처리 기법에 의한 심해저 망간단괴의 부존밀도 보정)

  • Park, Chan-Young;Chon, Hyo-Taek;Kang, Jung-Keuk
    • Economic and Environmental Geology
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    • v.29 no.4
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    • pp.429-437
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    • 1996
  • The purpose of this study is to correct the nodule abundance of FFG (Free Fall Grab) sampler on KODOS (Korea Deep Ocean Study) area in North-East Pacific Ocean. The image analysis of sea-floor photography was carried out for correcting the abundance of nodules, and the image enhancement techniques and edge detection method were used to discriminate between nodules and sediments. The trace of nodules on sediments was detected to reduce the fractionation effect in calculating the coverage of nodules. The three methods, using the coverage of nodules, using the volume density, and using corrected volume density, were utilized for the correction of the nodule abundance. The method using the coverage of nodules was more convenient and available for the correction of nodule abundance than the other two methods. The method using the corrected volume density had the highest confidence level compared with the other methods.

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Classification of Seabed Physiognomy Based on Side Scan Sonar Images

  • Sun, Ning;Shim, Tae-Bo
    • The Journal of the Acoustical Society of Korea
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    • v.26 no.3E
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    • pp.104-110
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    • 2007
  • As the exploration of the seabed is extended ever further, automated recognition and classification of sonar images become increasingly important. However, most of the methods ignore the directional information and its effect on the image textures produced. To deal with this problem, we apply 2D Gabor filters to extract the features of sonar images. The filters are designed with constrained parameters to reduce the complexity and to improve the calculation efficiency. Meanwhile, at each orientation, the optimal Gabor filter parameters will be selected with the help of bandwidth parameters based on the Fisher criterion. This method can overcome some disadvantages of the traditional approaches of extracting texture features, and improve the recognition rate effectively.

Remote Seabed Classification Based on the Characteristics of the Acoustic Response of Echo Sounder: Preliminary Result of the Suyoung Bay, Busan (측심기의 음향반사 특성을 이용한 해저퇴적물의 원격분류: 부산 수영만의 예비결과)

  • Kim Gil Young;Kim Dae Choul;Kim Yang Eun;Lee Kwang Hoon;Park Soo Chul;Park Jong Won;Seo Young Kyo
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.35 no.3
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    • pp.273-281
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    • 2002
  • Determination of sediment type is generally based on ground truthing. This method, however, provides information only for the limited sites. Recent developments of remote classification of seafloor sediments made it possible to obtain continuous profiles of sediment types. QTC View system, which is an acoustic instrument providing digital real-time seabed classification, was used to classify seafloor sediment types in the Suyoung Bay, Pusan. QTC View was connected to 50 kHz echo sounder, All parameters of QTC View and echo sounder are uniformly kept during survey. By ground truthing, the sediments are classified into seven types, such as slightly gravelly sand, slightly gravelly sandy mud, gravelly muddy sand, clayey sand, sandy mud, slightly gravelly muddy sand, and rocky bottom. By the first remote classification using QTC View, four sediment types are clearly identified, such as slightly gravelly sand, gravelly mud, slightly gravelly muddy sand, and rocky bottom. These are similar to the result of the second survey. Also the result of remote classification matches well with that of ground truthing, but for sediment type determined by minor component. Therefore, QTC View can effectively be used for remote classification of seafloor sediments.

Locates the Sunken Ship 'Dmitri Donskoi' using Marine Geophysical Survey Techniques in Deep Water (지구물리 탐사기법을 이용한 심해 Dmitri Donskoi호 확인)

  • Yoo, Hai-Soo;Kim, Su-Jeong;Park, Dong-Won
    • 한국지구물리탐사학회:학술대회논문집
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    • pp.104-117
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    • 2004
  • Dmitri Donskoi, which went down during the Russo-Japanese War occurred 100 years ago, was found by using geophysical exploration techniques at the 400 m water depth of submarine valley off Jeodong of Ulleung Island. In the submarine area with the rugged seabed topography and volcanic seamounts, in particular, the reliable seabed images were acquired by using the mid-to-shallow Multibeam exploration technique The strength of corrosion (causticity) of the sunken Donskoi, measured by the electrochemical method, decreased to 2/5 compared with the original strength.

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