A New Method of SAR Airdrome Image Edge Detection Based on Image Character

De Jun Li; He Nan Wu; Guan Zhong Li; Guang Yang; Li Cheng; Xiao Rui Sun

doi:10.4028/www.scientific.net/AMM.347-350.3560

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An Improved Edge Detection Algorithm Based on Canny Operator
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The Research of Oil & Gas Energy Saving Index Prediction Based on Neural Network and Quantum-Behaved Particle Swarm Optimization
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Research of Cloud Storage and Data Read-Write Technology
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A New Method of SAR Airdrome Image Edge Detection Based on Image Character
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Application of Wavelet Transform in Image Processing in Aviation Engine Damage
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 347-350A New Method of SAR Airdrome Image Edge Detection...

A New Method of SAR Airdrome Image Edge Detection Based on Image Character

Abstract:

SAR image edge detection is one of the basic contents for SAR image processing and analysis, one of SAR airdrome image edge detection methods was advanced in the paper based on the basic character of SAR airdrome image through imaging theory and target statistical trait, SAR image pretreatment was realized by synchronously using median filter, image division and mathematics morphologic, at last SAR image was edge detected using Canny arithmetic operators.

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Periodical:

Applied Mechanics and Materials (Volumes 347-350)

Pages:

3560-3564

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.347-350.3560

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Cite this paper

Online since:

August 2013

Authors:

De Jun Li, He Nan Wu, Guan Zhong Li, Guang Yang, Li Cheng, Xiao Rui Sun

Keywords:

Edge Detection, Morpholoy, SAR, Threshold Segmentation

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