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遥感技术与应用  2009, Vol. 24 Issue (3): 379-384    DOI: 10.11873/j.issn.1004-0323.2009.3.379
(国防科学技术大学电子科学与工程学院,湖南 长沙〓410073)
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)
 全文: PDF(1352 KB)  


关键词: 断头路特征轮廓序列矩特征融合目标检测    

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
收稿日期: 2009-01-07 出版日期: 2010-01-20
:  TP 75  
作者简介: 孙军领(1977-),男,硕士研究生|主要从事遥感信息处理研究。。
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孙军领,陈天泽,粟毅. 基于特征融合的遥感图像机场掩体目标检测方法研究[J]. 遥感技术与应用, 2009, 24(3): 379-384.

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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