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《Journal of Computer Applications》 2010-04
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Unmanned aerial vehicle landing point recognition based on natural landform image

LI Zhong-hai,LI Nan-nan(School of Automation,Shenyang Institute of Aeronautical Engineering,Shenyang Liaoning 110136,China)  
Unmanned Aerial Vehicle(UAV)landing point recognition is an important application of image recognition algorithms.This paper put forward a landing point recognition algorithm based on natural landform.The standard graphics library was decomposed by Contourlet decomposition firstly and the low-frequency subimage and band-pass subimage were obtained in different resolutions,and then the Hu invariant moments were extracted from each sub-graph respectively.The feature recognition library was built by feature selection according to the different recognition rate,then feature matching was done with the k-mean method.The recognition experiments which involve single grassland images and complex landform images in testing gallery show that the algorithm of this paper is effective for image recognition.
【Fund】: 航空科学基金资助项目(2008ZD54011)
【CateGory Index】: V279;TP391.41
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