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http://dx.doi.org/10.6109/jkiice.2008.12.4.716

Extraction of Water Depth in Coastal Area Using EO-1 Hyperion Imagery  

Seo, Dong-Ju (부경대학교 공과대학)
Kim, Jin-Soo (부경대학교 공과대학)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.12, no.4, 2008 , pp. 716-723 More about this Journal
Abstract
With rapid development of science and technology and recent widening of mankind's range of activities, development of coastal waters and the environment have emerged as global issues. In relation to this, to allow more extensive analyses, the use of satellite images has been on the increase. This study aims at utilizing hyperspectral satellite images in determining the depth of coastal waters more efficiently. For this purpose, a partial image of the research subject was first extracted from an EO-1 Hyperion satellite image, and atmospheric and geometric corrections were made. Minimum noise fraction (MNF) transformation was then performed to compress the bands, and the band most suitable for analyzing the characteristics of the water body was selected. Within the chosen band, the diffuse attenuation coefficient Kd was determined. By deciding the end-member of pixels with pure spectral properties and conducting mapping based on the linear spectral unmixing method, the depth of water at the coastal area in question was ultimately determined. The research findings showed the calculated depth of water differed by an average of 1.2 m from that given on the digital sea map; the errors grew larger when the water to be measured was deeper. If accuracy in atmospheric correction, end-member determination, and Kd calculation is enhanced in the future, it will likely be possible to determine water depths more economically and efficiently.
Keywords
Water Depth; Atmospheric Correction; MNF Transforms; Diffuse Attenuation Coefficient; Linear Spectral Unmixing;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
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