이미지 색상 추출법에 의한 정밀 심도 추출

An accurate sea bottom detection by image color reduction method

  Digitally acquired maine seismic data contain a variety of noises. Among these swell effect, which has occurred according to weather condition, must be removed because the noises affect seismic section in a various ways. Moving average method and high cut filtering method have been used for compressing swell effects as a data processing technique in a marine seismic survey. In order to apply swell effects removal techniques effectively, an accurate bottom detection method must be provided first. Recently, maximum amplitude method and cross-correlation method have been developed for bottom detection, but the accuracy of the bottom detection is largely affected by inherent noises. The proposed image color reduction method with 16 colors, when compared with respect to number of colors, gives simplified color section and very accurate bottom detection. It is concluded that we can remove swell effects more accurately by applying sea bottom data obtained by image color reduction method in the filtering process.