The ocean environment abnormality detection and extraction on color difference

HanSong Zhang; Xianqiang He; Delu Pan

doi:10.1117/12.804878

19 December 2008 The ocean environment abnormality detection and extraction on color difference

HanSong Zhang, Xianqiang He, Delu Pan

Proceedings Volume 7150, Remote Sensing of Inland, Coastal, and Oceanic Waters; 71501J (2008) https://doi.org/10.1117/12.804878
Event: SPIE Asia-Pacific Remote Sensing, 2008, Noumea, New Caledonia

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.

Citation Download Citation

HanSong Zhang, Xianqiang He, and Delu Pan "The ocean environment abnormality detection and extraction on color difference", Proc. SPIE 7150, Remote Sensing of Inland, Coastal, and Oceanic Waters, 71501J (19 December 2008); https://doi.org/10.1117/12.804878

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