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Proceedings Paper

The ocean environment abnormality detection and extraction on color difference
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Paper Abstract

One of the important tasks about oceanic environment remote sensing is to real-time forecast the oceanic environment unexpected abnormalities or disasters. We are requested to instantly detect, quickly process, exactly analyze and forecast. As we known, it is not enough to estimate by gray. We can make full use of color difference of images to obtain more environment information, synthesize spectrum information to quickly detect, exactly extract and forecast the oceanic environment unexpected abnormalities. In this paper, we aim at algal overrun incident in Qingdao sea area of China On August, 2008. We will discuss the method of using NDVI to detect and extract oceanic environment abnormalities on color difference. Our research will establish the foundation of monitoring oceanic algal overrun by remote sensing.

Paper Details

Date Published: 19 December 2008
PDF: 8 pages
Proc. SPIE 7150, Remote Sensing of Inland, Coastal, and Oceanic Waters, 71501J (19 December 2008); doi: 10.1117/12.804878
Show Author Affiliations
HanSong Zhang, Zhejiang Univ. (China)
State Oceanic Administration (China)
Xianqiang He, State Oceanic Administration (China)
Delu Pan, State Oceanic Administration (China)

Published in SPIE Proceedings Vol. 7150:
Remote Sensing of Inland, Coastal, and Oceanic Waters
Robert J. Frouin; Serge Andrefouet; Hiroshi Kawamura; Mervyn J. Lynch; Delu Pan; Trevor Platt, Editor(s)

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