A Method of Airport Shelter Detection Based onFeature Fusion in Remote Sensing Images

doi:10.11873/j.issn.1004-0323.2009.3.379

Remote Sensing Technology and Application

2009, Vol. 24

Issue (3): 379-384 DOI: 10.11873/j.issn.1004-0323.2009.3.379

A Method of Airport Shelter Detection Based onFeature Fusion in Remote Sensing Images

SUN Jun-ling,CHEN Tian-ze,SU Yi

(Department of Electronic Science and Engineering,National University of Deffense Technology,Changsha 410073,China)

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Abstract

Combining the features of position and shape,the method of detecting the airport shelter in remote sensing images is proposed in this paper.Firstly,the Mathematics Morphology to extract the skeleton of airport road networks was introduced in preprocessing step.Then topological relationship of the net is employed to locate the End Road of shelter targets,which can indicate the position well.In succession,contour sequence moments are used as salience features to extract building shapes.On that basis,the fusion detection of shelters can be achieved.The experiment is carried out with high resolution satellite images of airport; the results show that this method can recognize the shelters in airport area accurately.

Key words: End road feature Contour sequence moments Feature fusion Target detection

Received: 07 January 2009 Published: 20 January 2010

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Cite this article:

SUN Jun-ling,CHEN Tian-ze,SU Yi. A Method of Airport Shelter Detection Based onFeature Fusion in Remote Sensing Images. Remote Sensing Technology and Application, 2009, 24(3): 379-384.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2009.3.379 OR http://www.rsta.ac.cn/EN/Y2009/V24/I3/379

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