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空空导弹红外成像引信及其起爆控制算法 被引量:13

Air-air missile IR imaging fuze and its fuzing control algorithm
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摘要 空空导弹成像引信研究的许多理论 ,如引信如何成像、如何处理图像、如何识别目标等 ,还没有定论。首先提出了一种新型空空导弹红外成像引信 ,它与前视红外成像导引头共享焦平面探测器、光学系统等。该引信的最大特点是实现了制导 /引信一体化 ,能识别目标类型、选择瞄准点和毁伤与瞄准点有关的目标易损部位 ;然后 ,提出了一种成像引信的起爆控制算法 ,并给出了一些计算机仿真结果。 Infrared imaging fuze of air\|air missiles has been studied in the world just for a short time. Theories of fuze that how to image, how to process image and how to recognize target are imperfect now. An air\|air missile infrared imaging fuze that shares some components of FLIR imaging seeker, such as FPA sensors and optical systems, is proposed. The remarkable characteristic of this fuze is the integration of guidance and fuzing. It has the functions of sorting targets, selecting aiming pointting and hitting unsubstantial place relating to aiming point. A fuzing control algorithm is addressed and some results of computer simulation are presented. \;
出处 《红外与激光工程》 EI CSCD 北大核心 2002年第3期244-248,271,共6页 Infrared and Laser Engineering
关键词 引信 制导 导弹 图像处理 Fuze \ Guidance \ Missile \ Image processing
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参考文献8

  • 1[1]Ratches J A, Walters C P, Buser R G, et al. Aided and automatic target recognition based upon sensory inputs from image forming systems[J]. IEEE Transactions on PAMI, 1997, 19(9):1004-1019.
  • 2潘乐义,郑链,王克勇.红外成像引信的计算机仿真[J].红外与激光工程,2000,29(3):35-39. 被引量:4
  • 3李飚,李吉成,沈振康.一种基于神经网络的红外目标识别方法[J].系统工程与电子技术,1999,21(2):39-42. 被引量:22
  • 4陈东,王炎,崔有志.基于旋转不变性小波矩的神经网络飞机识别[J].计算机工程与设计,1998,19(3):3-6. 被引量:4
  • 5[6]Aggurwal J K. Detecting moving objects in airborne forward-looking infrared sequences[A]. IEEE Processing, Computer Vision Beyond the Visible Spectrum: Methods and Applications 1999 CCVBS'99[C]. 1999. 3-12.
  • 6刘隆和.多模复合寻的制导技术[M].北京:国防工业出版社,1998..
  • 7[8]Fennema C L, Thompson W B. Velocity determination in scenes containing several moving object[J]. Computer Graphics and Image Processing, 1979, 9(4):301-315.
  • 8[9]Glasgow B, Bell W. The future of anti-aircraft imaging infrared seeker missile threats[A]. Aerospace Conference, IEEE Proceedings[C]. 1999. 3174-3176.

二级参考文献6

  • 13,Bimal Kumar Ray and Kumar Sray.Ray. Corner Detection Using Iterative Gaussian Smoothing with Constant Window Size. Pattern Recogniton. 1995, 28(11):1765~1781
  • 24,Bentley and Perth. Assessing Feature Importance in the Context of Object Recognition. International Journal of Pattern Recognition and Artificial Intelligence. 1997, 11(1):49~77
  • 3黄德双,神经网络模式识别系统理论,1996年,31页
  • 4Song T Y,Proc Int Comput Sympo,1988年,870页
  • 5Chen H H,Proc Int Comput Sympo,1986年,103页
  • 6Lie W N,Proc Int Comput Sympo,1986年,710页

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