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�������պ����ѧѧ�� 2012, Vol. 38 Issue (1) :106-110,122    DOI:
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�ȶ���, ����, ������, ������*
�й���ѧԺ �Զ����о���, ���� 100190
Resident region extraction using Gabor filter in aerial imagery
Gu Duoyu, Guo Jiang, Li Shuxiao, Chang Hongxing*
Institute of Automation, Chinese Academy of Science, Beijing 100190, China

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Abstract�� Automatic extraction of resident regions from medium and low revolution aerial images plays a crucial role in geographic information system(GIS) updating and unmanned aerial vehicle(UAV) navigation. The parameters of Gabor filter in detail were analyzed, and a fast resident region extraction algorithm based on Gabor filter was proposed. The method composed of four steps. Firstly, the texture features of input image were extracted using Gabor filter. And then the texture features were smoothed by the kernel density estimation method to get the confidence image. Subsequently, the confidence image was segmented by the basic global threshold algorithm to acquire candidate regions. Ultimately, the candidate regions were verified by the geometric structure information. The method has low computational complexity, and can run within 0.42s in average. The efficiency and accuracy of the proposed algorithm were demonstrated by the experimental results.
Keywords�� aerial imagery   resident region extraction   Gabor filter   kernel density estimation     
Received 2010-09-06;


About author: �ȶ���(1984-),Ů,ɽ��������,��ʿ��,duoyu.gu@ia.ac.cn.
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Gu Duoyu, Guo Jiang, Li Shuxiao, Chang Hongxing.Resident region extraction using Gabor filter in aerial imagery[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2012,V38(1): 106-110,122
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