On Accurate Detection of Oceanic Features from Satellite IR Data Using ICSED Method

Li Jun; Zhou Fengxian

doi:10.1007/BF02656948

Impact Factor: 3.9

Volume 9 Issue 3

Jul. 1992

Article Contents

Article > ADVANCES IN ATMOSPHERIC SCIENCES > 1992 > 9(3): 373-382

On Accurate Detection of Oceanic Features from Satellite IR Data Using ICSED Method

1.
Institute of Atmospheric Physics, Academia Sinica, Beijing 100029,Institute of Atmospheric Physics, Academia Sinica, Beijing 100029

doi: 10.1007/BF02656948

Abstract
References
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Abstract:
ICSED (Improved Cluster Shade Edge Detection) algorithm and other various methods to accurately and efficiently detect edges on satellite data are presented. Error rate criterion is used to statistically evaluate the perform-ances of these methods in detecting oceanic features for both noise free and noise contaminated AVHRR (Advanced Very High Resolution Radiometer) IR image with Kuroshio. Also, practical experiments in detecting the eddy of Kuroshio with these methods are carried out for comparison. Results show that the ICSED algorithm has more advantages than other methods in detecting mesoscale features of ocean. Finally, the effectiveness of window size of ICSED method to oceanic features detection is quantitatively discussed.
References

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Manuscript History

Manuscript received: 10 July 1992

Manuscript revised: 10 July 1992

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

On Accurate Detection of Oceanic Features from Satellite IR Data Using ICSED Method

1. Institute of Atmospheric Physics, Academia Sinica, Beijing 100029,Institute of Atmospheric Physics, Academia Sinica, Beijing 100029

Manuscript received: 1992-07-10
Manuscript revised: 1992-07-10

Abstract: ICSED (Improved Cluster Shade Edge Detection) algorithm and other various methods to accurately and efficiently detect edges on satellite data are presented. Error rate criterion is used to statistically evaluate the perform-ances of these methods in detecting oceanic features for both noise free and noise contaminated AVHRR (Advanced Very High Resolution Radiometer) IR image with Kuroshio. Also, practical experiments in detecting the eddy of Kuroshio with these methods are carried out for comparison. Results show that the ICSED algorithm has more advantages than other methods in detecting mesoscale features of ocean. Finally, the effectiveness of window size of ICSED method to oceanic features detection is quantitatively discussed.