首页> 外文会议>Second Internatioal Conference on Image and Graphics Pt.1, Aug 16-18, 2002, Hefei, China >Extraction of polymetallic nodule information from deep-tow system's optic image
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Extraction of polymetallic nodule information from deep-tow system's optic image

机译:从深拖系统的光学图像中提取多金属结核信息

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摘要

There are abundant metallic mineral resources on the sea floor, polymetallic nodule is an important one of them. A polymetallic nodule ore includes nickel, copper and manganese elements, etc. So the polymetallic nodule is very important and precious to industry. In order to know the distribution and reserves in the west and east pacific areas, a deep-tow optic system is imported from U.S. to acquire deep sea-floor images. Processing the images, we can extract some information and calculate some parameters: coverage, grain size and abundance, which stand for distribution and reserves of the polymetallic nodule. In the paper, features of the deep sea-floor image are analyzed, considering the characters, a processing procedure for the deep sea-floor pictures is presented. Methods are presented to rectify radiative uneven and geometric distortions, at last, the correlations of coverage, abundance and grain size are analyzed and the formulas for computing abundance are respectively derived from that.
机译:海底有丰富的金属矿产资源,多金属结核是其中重要的一种。多金属结核矿石包含镍,铜和锰元素等。因此,多金属结核对工业而言非常重要且珍贵。为了了解西太平洋区域和东太平洋区域的分布和储量,从美国进口了深拖光学系统以获取深海底图像。处理图像,我们可以提取一些信息并计算一些参数:覆盖率,晶粒度和丰度,代表多金属结核的分布和储量。本文在分析深海海底图像特征的基础上,考虑了特征,提出了深海海底图像的处理程序。提出了校正辐射不均匀和几何畸变的方法,最后分析了覆盖率,丰度和晶粒度的相关性,并分别推导了计算丰度的公式。

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