북동태평양 클라리온 클리퍼톤 균열대의 MR1 사이드 스캔 탐사자료의 영상 향상과 해저면 분류에 관한 첫번째 보고

Title
북동태평양 클라리온 클리퍼톤 균열대의 MR1 사이드 스캔 탐사자료의 영상 향상과 해저면 분류에 관한 첫번째 보고
Alternative Title
Digital Image Processing Techniques for Enhancement and Classification of MR1 Side Scan Sonar Imagery and Preliminary Results of Manganese Nodule Occurrence between the Clarion and Clipperton Fracture
Author(s)
김현섭; 박정기; 박요섭; 김기현
KIOST Author(s)
Kim, Hyun Sub(김현섭)Park, Cheong Kee(박정기)
Alternative Author(s)
김현섭; 박정기; 김기현
Publication Year
2004-12-13
Abstract
The recent growth in the production rate of digital side scan sonar images, coupled with the rapid expansion of systematic seafloor exploration programs, has created a need for fast and quantitative means of processing seafloor imagery. A number of numerical techniques used to enhance and classify imagery produced by long range side scan sonar (MR1) in the Clarion and Clippertion Fracture Zones, NE equatorial Pacific.Side scan sonar imagery is traditionally interpreted visually and qualitatively by experts. Textural Analysis enables a more objective approach, supplementing the interpreter with reliable quantitative results. Grey-level co-occurrence matrices describe numerically textual information and detect subtle details invisible to the human eyes.The area between the Clarion and Clipperton fracture zones (NE equatorial Pacific) is one of the highest manganese nodule abundance in the world oceans. A detailed analysis of MR1 sonar images and ground truth - free-fall grab (FFG) data in the area, reveals a close relationship between sonar characters of seafloor and manganese nodule occurrence. The close relationship between distribution of sonar imagery and manganese nodule abundance implies that seafloor topography and sediment thickness are important controlling factors for occurrence of manganese nodules.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/31600
Bibliographic Citation
AGU 2004 Fall Meeting, pp.F1059, 2004
Publisher
American Geophysical Union
Type
Conference
Language
English
Files in This Item:
There are no files associated with this item.

qrcode

Items in ScienceWatch@KIOST are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse