期刊文献+

跑道毁伤识别中的变化检测研究 被引量:4

A Study on Change Detecting in Runway's Damage Recognition
下载PDF
导出
摘要 在现代战争条件下,能否对机场等境外大纵深重要战略目标的突袭效果进行实时评估,对下一步的作战行动有着至关重要的影响。跑道是机场的重要组成部分,其毁伤前后变化检测是机场封锁效果评估的第一步。对变化检测所面临的问题、检测参数、原理与算法进行了初步探讨,实验结果说明文中采用的相关系数法能够有效地检测到突袭前后航天侦察影像上跑道的有意义变化。 It is very important to the next eampaign step of the real-time evaluation of the object damage degree such as airport in the future war. The runway is the main part of the airport, to detect its change is the first step to evaluate the attacking effect to the airport. There are many questions should be considered in change detecting in runway's damage recognition, including images' quality, registration, changed region detecting, region of interesting detecting, change measurement and evaluation. Correlative questions such as change detecting parameters, the theory and the algorithm of runway change detecting are discussed in the paper. Gradation, texture, linear distributing, edge and corner of the image are considered to solve the question. Change detecting is done in little windows of two images of the same region which were obtained at different time, and the 4 texture parameters contrast, energy, entropy and relativity can be used to describe the window image's information. The method of correlation coefficient is used in the paper, and the experiment result shows that the algorithm can detect the significant changes of the runway after striking in space reconnaissance images when the appropriate window size and the proportion of the correlation coefficient are chosen.
出处 《遥感技术与应用》 CSCD 2005年第5期474-477,共4页 Remote Sensing Technology and Application
关键词 航天侦察影像 跑道 毁伤识别 变化检测 相关系数 Space reconnaissance image, Runway, Damage recognition, Change detection, Correlation coefficient
  • 相关文献

参考文献7

  • 1Wang Xial-guang. Surface Texture and Microstructure Extraction from Multiple aerial Images[J]. Compruter Vision and Image Understanding, 2001,83 : 1-37.
  • 2朱述龙 张占睦.遥感图像获取与分析[M].北京:科学出版社,2000.4.
  • 3章毓晋.图像处理和分析[M].北京:清华大学出版社,1999..
  • 4边肇棋 张学工.模式识别[M].北京:清华大学出版社,2000..
  • 5Sudeep Sarkar. Integration, Inference, and Management of Spatial Information Using Bayesian Networks: Perceptual Organization[J].IEEE Trans on PAMI, 1993,15(3):225-230.
  • 6杨云斌,张建伟,钱立新,屈明.反跑道集束战斗部毁伤概率研究[J].计算机仿真,2003,20(8):12-15. 被引量:8
  • 7孙家抦.遥感原理与应用[M].北京:武汉大学出版社,2004..

二级参考文献2

  • 1江裕钊.数学模型与计算机仿真[M].北京:电子科技大学出版社,1989..
  • 2方再根.计算机仿真和蒙特卡洛方法[M].北京:工业学院出版社,1988..

共引文献520

同被引文献32

  • 1李德仁.利用遥感影像进行变化检测[J].武汉大学学报(信息科学版),2003,28(S1):7-12. 被引量:230
  • 2李小春,陈鲸.一种变化检测的新算法[J].宇航学报,2005,26(3):334-338. 被引量:7
  • 3张振龙,曾志远,李硕,胡子付.遥感变化检测方法研究综述[J].遥感信息,2005,27(5):64-66. 被引量:33
  • 4Nadimi S,Bhanu B.Physics-based cooperative sensor fusion for moving object detection[C]//Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2004 : 1063-6919.
  • 5Neil C R,Lynne L G.Change detection for linear features in aerial photographs using edge-finding[J].IEEE Transaction on Geoscience and Remote Sensing,2001,39(7) : 1608-1612.
  • 6Singh A.Digital change detection techniques using remotely-sensed data[J].International Journal of Remote Sensing, 1989,10(6) :989- 1003.
  • 7袁礼海,宋建社,薛文通,郑永安.利用灰度和纹理特征的SAR图像分类研究[J].电光与控制,2007,14(4):58-62. 被引量:14
  • 8章毓晋.图像处理和分析[M].北京:清华大学出版社,1999..
  • 9Ssu H Y, Anuj S, Raman K M. Automatic Battle Damage Assessment based on Laser Radar Imagery [J]. SPIE, 1999,3707 : 210-221.
  • 10Guo C, Xin Y, Zhi H M. A Two-Stage Level Set Evolution Scheme for Man-made Objects Detection in Aerial Images[C]. CVPR'05 Proceeding, 2005.

引证文献4

二级引证文献23

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部