关键词: 图像识别, 特征提取, Contourlet变换, Hu不变矩, k-mean匹配

Abstract: 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.

Key words: image recognition, feature extraction, Contourlet transform, Hu invariant moment, k-mean matching