J4 ›› 2012, Vol. 39 ›› Issue (5): 12-17+29.doi: 10.3969/j.issn.1001-2400.2012.05.003

• 研究论文 • 上一篇    下一篇



  1. (西安电子科技大学 智能感知与图像理解教育部重点实验室,陕西 西安  710071)
  • 收稿日期:2011-06-28 出版日期:2012-10-20 发布日期:2012-12-13
  • 通讯作者: 辛芳芳
  • 作者简介:辛芳芳(1982-),女,西安电子科技大学博士研究生,E-mail: xf9258@163.com.
  • 基金资助:


Change detection in multitemporal remote sensing images based on local mean dynamic Fisher discriminant analysis

XIN Fangfang;JIAO Licheng;WANG Lingxia;WANG Guiting   

  1. (Ministry of Education Key Lab. of Intelligent Perception and Image Understanding,  Xidian Univ., Xi'an  710071, China)
  • Received:2011-06-28 Online:2012-10-20 Published:2012-12-13
  • Contact: XIN Fangfang



关键词: 变化检测, 非参数估计, 动态Fisher分类器, 均值漂移


This paper proposes a novel change detection technique, which treats the detection problem as a classifier problem and uses the improved dynamic Fisher classifier to identify the changes in the joint intensity histogram. By considering the relationship between the pixel and its neighborhood, local mean dynamic Fisher discriminant analysis (LMDFDA) is proposed to introduce the neighborhood’s information. Meanwhile, the parameters of the classifier are adjusted according to the current detection result, which avoids the influences of initial conditions. The proposed method is distribution free, context-sensitive and not affected by comparison operators. Experiments show that the proposed algorithm is effective and feasible for real multi-temporal remote sensing images.

Key words: change detection, distribution free, dynamic Fisher classifier, mean shift