Fusion recognition of dot target multi-spectrum data based on ANN

FENG Zhi-qing; YANG Ying-hui; GUO Jing-fu; SUI Yong-xin; LIANG Shi-li; YANG Huai-jiang

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Fusion recognition of dot target multi-spectrum data based on ANN

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- Fusion recognition of dot target multi-spectrum data based on ANN
- Optics and Precision Engineering Vol. 11, Issue 4, Pages: 412-415(2003)
- 作者机构：
  
  1. 辽宁营口工业学校,辽宁营口,117000
  2. 中国科学院, 长春光学精密机械与物理研究所, 应用光学国家重点实验室, 吉林, 长春, 130022
- 作者简介：
- 基金信息：
- DOI：
  CLC： O438
- Received：09 January 2003，
  
  Revised：24 May 2003，
  
  Published Online：15 August 2003，
  
  Published：15 August 2003
- 稿件说明：
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冯志庆, 杨英慧, 郭景富, 隋永新, 梁士利, 杨怀江. 基于神经网络的点目标多光谱信息融合识别方法[J]. 光学精密工程, 2003,(4): 412-415

FENG Zhi-qing, YANG Ying-hui, GUO Jing-fu, SUI Yong-xin, LIANG Shi-li, YANG Huai-jiang . Fusion recognition of dot target multi-spectrum data based on ANN[J]. Editorial Office of Optics and Precision Engineering, 2003,(4): 412-415
冯志庆, 杨英慧, 郭景富, 隋永新, 梁士利, 杨怀江. 基于神经网络的点目标多光谱信息融合识别方法[J]. 光学精密工程, 2003,(4): 412-415 DOI：

FENG Zhi-qing, YANG Ying-hui, GUO Jing-fu, SUI Yong-xin, LIANG Shi-li, YANG Huai-jiang . Fusion recognition of dot target multi-spectrum data based on ANN[J]. Editorial Office of Optics and Precision Engineering, 2003,(4): 412-415 DOI：

摘要

为了解决动态红外点目标多光谱模式识别问题

提出了一种利用神经网络并行子网作为前级处理

证据理论于后级融合的多周期模式识别推理模型。由于并行子网的引入

该模型避开了识别过程中采用单一神经网络所带来的大样本训练问题

用带有加性噪声的点目标红外光谱作为识别模型的目标数据源进行了算法验证

计算结果表明该算法对多周期不确定性证据有很强的证据聚焦能力。

Abstract

In order to solve dynamic small weak infrared object multi-spectrum data fusion problem

a multi period pattern recognition model has been established by using ANN parallel nets and D-S theory. This model solves the training time problem for single net with large numbers of samples because of importing of the parallel nets. The model was validated using dot infrared spectrum data with additive noise as target data source and the result of calculation indicate the recognition model has very strong multi-period uncertainty evidence focusing capability.

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references

向健勇, 徐军, 刘燕.背景预测法检识空中红外弱小目标[J].激光与红外, 1997,27(4):205-211.XIANG J Y, XU J, LIU Y. Application of background forecast in detection and acquisition the aerial infrared small and weak targets [J]. Laser & Infrared, 1997,27(4);205-211.

李飚, 李吉成, 沈振康.一种基于神经网络的红外点目标识别方法[J]. 系统工程与电子技术, 1999,21(2):39-42.LI B, LI J C, SHEN Z K. A new method of object recognition using a neural network [J].System Engineering and Electronics, 1999,21(2):39-42.

LU H. Multi-sensor data fusion method to discern point targets[J]. SPIE, 3163:575-582.

何友, 王国宏.多传感器信息融合及应用 [M]. 北京: 电子工业出版社, 2000.HE Y, WANG G H. Multi-sensor information fusion and application [M]. Beijing: Electron Industry Press, 2000.

杨怀江. 光动力学系统神经网络系统辩识及自适应控制之性能分析[J]. 光学精密光程, 1998,6(2):36-43.YANG H J. Analysis of performance of the neural network adaptive control of optical dynamic systems[J]. Optics and Precision Engineering, 1998,6(2):36-43.

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