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Delineation of Mesoscale Features of Ocean on Satellite IR Image
作者姓名:Li Jun  Zhou Fengxian  Gao Qinghuai
作者单位:Institute of Atmospheric Physics. Academia Sinica,Beijing 100029,Institute of Atmospheric Physics. Academia Sinica,Beijing 100029,Information Science Center,Peking University,Beijing 100871
摘    要: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 be an excel lent edge detector that exhibits the characteristic of fine-structure rejection while retaining edge sharpness. This char acteristic 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.


Delineation of mesoscale features of ocean on satellite IR image
Li Jun,Zhou Fengxian,Gao Qinghuai.Delineation of Mesoscale Features of Ocean on Satellite IR Image[J].Advances in Atmospheric Sciences,1990,7(4):423-432.
Authors:Jun Li  Fengxian Zhou  Gao Qinghuai
Institution:Institute of Atmospheric Physics, Academia Sinica, Beijing 100029,Institute of Atmospheric Physics, Academia Sinica, Beijing 100029,Information Science Center, Peking University, Beijing 100871
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.
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