| 引用本文: | 耿振伟,粟毅,郁文贤.遥感影像中采用多维特征的目标定位检测.[J].国防科技大学学报,2007,29(4):72-76.[点击复制] |
| GENG Zhenwei,SU Yi,YU Wenxian.Object Detection with Multiple Features in Remote Sensing Image[J].Journal of National University of Defense Technology,2007,29(4):72-76[点击复制] |
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| 遥感影像中采用多维特征的目标定位检测 |
| 耿振伟, 粟毅, 郁文贤 |
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(国防科技大学 电子科学与工程学院，湖南 长沙 410073)
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| 摘要: |
| 给出一种在复杂场景的遥感影像中定位人造目标的方法，通过提取多种有利于检测人造目标的特征，并将其组合成特征矢量，采用非参数的均值漂移聚类方法进行分割，从而把目标从复杂场景中分离出来，通过检测影像中的房屋建筑物，结果表明该方法具有很好的稳健性和自动性。 |
| 关键词: 均值漂移 检测 遥感 |
| DOI： |
| 投稿日期：2006-09-20 |
| 基金项目: |
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| Object Detection with Multiple Features in Remote Sensing Image |
| GENG Zhenwei, SU Yi, YU Wenxian |
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(College of Electronic Science and Engineering, National Univ. of Defense Technology, Changsha 410073, China)
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| Abstract: |
| A method is presented for the localization of manmade objects in remote sensing images with complex scenes. The methodology was based on mean shift clustering in high dimension by extracting multiple features of manmade objects and forming them into a feature vector. By clustering the feature vectors, the manmade objects were segmented from the complex scenes. Results obtained on the detection of architectures in the image show that this methodology has good robustness and autonomy. |
| Keywords: mean shift detection remote sensing |
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