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基于Gabor滤波器的航空图像居民区域提取

谷多玉 郭江 李书晓 常红星

谷多玉, 郭江, 李书晓, 等 . 基于Gabor滤波器的航空图像居民区域提取[J]. 北京航空航天大学学报, 2012, 38(1): 106-110,122.
引用本文: 谷多玉, 郭江, 李书晓, 等 . 基于Gabor滤波器的航空图像居民区域提取[J]. 北京航空航天大学学报, 2012, 38(1): 106-110,122.
Gu Duoyu, Guo Jiang, Li Shuxiao, et al. Resident region extraction using Gabor filter in aerial imagery[J]. Journal of Beijing University of Aeronautics and Astronautics, 2012, 38(1): 106-110,122. (in Chinese)
Citation: Gu Duoyu, Guo Jiang, Li Shuxiao, et al. Resident region extraction using Gabor filter in aerial imagery[J]. Journal of Beijing University of Aeronautics and Astronautics, 2012, 38(1): 106-110,122. (in Chinese)

基于Gabor滤波器的航空图像居民区域提取

基金项目: 国家自然科学基金资助项目(61005028)
详细信息
    作者简介:

    谷多玉(1984-),女,山东济南人,博士生,duoyu.gu@ia.ac.cn.

  • 中图分类号: TP 391

Resident region extraction using Gabor filter in aerial imagery

  • 摘要: 中低分辨率航空图像中居民区域的自动提取对地理信息系统更新和无人机导航具有重要作用.详细分析了Gabor滤波器参数对纹理提取的影响,提出了一种基于Gabor滤波器的居民区快速提取算法.算法包含4步:运用Gabor滤波器分析图像纹理,采用核密度估计生成居民区域置信图像,进而计算自适应阈值分割置信图得到候选区域,最后根据区域几何形状去除干扰得到居民区.算法平均运算时间为0.42s,实验结果表明了算法的高效性和准确性.

     

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出版历程
  • 收稿日期:  2010-09-06
  • 网络出版日期:  2012-01-30

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