Delineation of Mesoscale Features of Ocean on Satellite IR Image

Li Jun; Zhou Fengxian; Gao Qinghuai

doi:10.1007/BF03008872

Impact Factor: 5.8

Volume 7 Issue 4

Oct. 1990

Article Contents

Article > ADVANCES IN ATMOSPHERIC SCIENCES > 1990 > 7(4): 423-432

Delineation of Mesoscale Features of Ocean on Satellite IR Image

1.
Institute of Atmospheric Physics, Academia Sinica, Beijing 100029,Institute of Atmospheric Physics, Academia Sinica, Beijing 100029,Information Science Center, Peking University, Beijing 100871

doi: 10.1007/BF03008872

Abstract
References
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Abstract:
An ICSED (Improved Cluster Shade Edge-Detection) algorithm and a series of post-processing technique are discussed for automatic delineation of mesoscale structure of the ocean on digital IR images. The popular derivative-based edge operators are shown to be too sensitive to edge fine-structure and to weak gradients. The new edge-detection algorithm is ICSED (Improved Cluster Shade Edge-detection) method and it is found to he an excel-lent edge detector that exhibits the characteristic of fine-structure rejection while retaining edge sharpness. This characteristic is highly desirable for analyzing oceanographic satellite images. A sorting technique for separating clouds or land well from ocean at both day and night is described in order to obtain high quality mesoscale features on the IR image. This procedure is evaluated on an AVHRR (Advanced Very High Resolution Radiometer) image with Kuroshio. Results and analyses show that the mesoscale features can be well identified by using ICSED algorithm.
References

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Manuscript History

Manuscript received: 10 October 1990

Manuscript revised: 10 October 1990

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

Delineation of Mesoscale Features of Ocean on Satellite IR Image

1. Institute of Atmospheric Physics, Academia Sinica, Beijing 100029,Institute of Atmospheric Physics, Academia Sinica, Beijing 100029,Information Science Center, Peking University, Beijing 100871

Manuscript received: 1990-10-10
Manuscript revised: 1990-10-10

Abstract: An ICSED (Improved Cluster Shade Edge-Detection) algorithm and a series of post-processing technique are discussed for automatic delineation of mesoscale structure of the ocean on digital IR images. The popular derivative-based edge operators are shown to be too sensitive to edge fine-structure and to weak gradients. The new edge-detection algorithm is ICSED (Improved Cluster Shade Edge-detection) method and it is found to he an excel-lent edge detector that exhibits the characteristic of fine-structure rejection while retaining edge sharpness. This characteristic is highly desirable for analyzing oceanographic satellite images. A sorting technique for separating clouds or land well from ocean at both day and night is described in order to obtain high quality mesoscale features on the IR image. This procedure is evaluated on an AVHRR (Advanced Very High Resolution Radiometer) image with Kuroshio. Results and analyses show that the mesoscale features can be well identified by using ICSED algorithm.