期刊文献+

基于数学形态学的机场跑道自动识别方法 被引量:9

Automatic Identification Algorithm of Airport Runway Detection Algorithm based on Mathematical Morphology
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摘要 如何自动、正确且快速地从遥感或航拍图片中检测战略目标,是导弹能否准确击中目标的关键,在军事领域具有重要意义。针对机场跑道目标的各种特性,提出一种基于数学形态学形态滤波和形态重构的机场跑道自动识别算法。实验结果表明,该方法识别机场跑道的效果良好。 In order to ensure that a missile can strike its target accurately,it is of key importance to be able to detect airport runway automatically from aerial images. Through the analysis of the features of the runway object in aerial images, a new mehtod for runway detection is proposed based on mathematics morphological filtering operation and reconstruction. Experimental results show that the new method for detecting runway automatically is very effective.
出处 《火力与指挥控制》 CSCD 北大核心 2006年第7期21-23,共3页 Fire Control & Command Control
基金 高等学校博士学科点专项科研基金资助项目(20020699014)
关键词 数学形态学 形态重构 跑道识别 mathematical morphology, morphological reconstruction, runway identification
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参考文献9

  • 1Suveg I,Vosselman G.Knowlege based Reconstruction of Buildings[A].Image Analysis and Processing,2001.Proceedings.11th International Conference on,26-28[C].2001:484-489. 被引量:1
  • 2Liu J.Detection of Linear Features in Images Using Radon and Hough Transforms[J].SPIE 2232,1994,154-164. 被引量:1
  • 3王立,常青,张科,李言俊.Radon变换在低信噪比图像中的线段检测[J].红外与激光工程,2003,32(2):163-166. 被引量:17
  • 4崔岐.数字图像处理与分析(数学形态学方法及应用)[M].北京:科学出版社,2000. 被引量:1
  • 5Maragos P,Schafer R W.Morphological Filters Part I:Their Set Theoretic Analysis and Relations to Linear Shift Invariant Filters[J].IEEE Trans on ASSP,1987,35(8):1153-1169. 被引量:1
  • 6Maragos P,Schafer R W.Morphological Filters Part I:Their Set Theoretic Analysis and Relations to Linear Shift Invariant Filters[J].IEEE Trans on ASSP,1987,35(8):1170-1184. 被引量:1
  • 7刘剑秋,阮秋琦.形态学重建滤波器的研究与应用[J].通信学报,2002,23(1):116-121. 被引量:21
  • 8董长虹主编..Matlab图像处理与应用[M].北京:国防工业出版社,2004:282.
  • 9Otsu N.A Threshold Selection Method from Gray-level Histograms[J].IEEE Trans on System,Man and Cybernetics,1979,9(1):62-66. 被引量:1

二级参考文献6

  • 1Murphy h M. Linear feature detection and enhancement in noisy images via the Radon transform[J]. Pattern Recognition Let-ters, 1986, 4(4),279-284. 被引量:1
  • 2Duda R O, Hart D E. Use of the hough transform to detect lines and curves in pictures[J]. Commun Ass Comput Mach,1972, 15(2) :11-15. 被引量:1
  • 3Rey M T, Tunaley J K, Folinsbee J T, et al. Application of Ra-don transform techniques to wake detection in seasat-SAR ima-ges[J]. IEEE Trans Geoscience and Remote Sensing, 1990, 28(4):553-560. 被引量:1
  • 4Copeland A C, Ravichandran G, Trivedi M M. Localized Radon transform for ship wake detection in SAR imagery[A]. In Procof SPIE Automatic Object Recognition Ⅳ[C]. Orlando, FL,1994. 被引量:1
  • 5王金平.平面Radon变换的反演公式[J].CT理论与应用研究(中英文),2000,9(1):8-11. 被引量:4
  • 6王耀明,严炜,俞时权.基于Radon变换的图象矩特征抽取及其在图象识别中的应用[J].计算机工程,2001,27(2):82-83. 被引量:18

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