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铁道科学与工程学报

JOURNAL OF RAILWAY SCIENCE AND ENGINEERING

Vol. 13    No. 3    June 2003

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Edge detection of remote sensing image based on nonlinear intensity of curved surface
ZHANG Lian-peng(张连蓬), LIU Guo-lin(刘国林), JIANG Tao(江 涛)

College of Geo-information Science and Engineering, 
Shandong University of Science and Technology, Tai'an 271019, China

Abstract:A new edge detector based on the nonlinear intensity of curved surface was proposed. The edge detector describes the largest curvature and the smallest curvature of curved surface, therefore it can reflect the real largest direction of image edge jump. By the new edge detector, it is convenient to calculate the curvature in any direction of the curved surface and the curvature can be used in the identification of edge direction and the feature extraction of objects on remote sensing image.

 

Key words:  remote sensing; edge detection; nonlinear curvature

ISSN 1672-7029
CN 43-1423/U

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