基于非下采样轮廓波变换的智能化红外空中小目标检测

系统仿真学报 ›› 2015, Vol. 27 ›› Issue (7): 1490-1495.

基于非下采样轮廓波变换的智能化红外空中小目标检测

刘刚^1,2,3, 徐兴元¹, 周珩², 张喜涛²

1.河南科技大学信息工程学院,河南洛阳 471023;
2.中国空空导弹研究院,河南洛阳 471009;
3.郑州大学信息工程学院,河南郑州 450001

收稿日期:2014-11-25 修回日期:2015-01-13 出版日期:2015-07-08 发布日期:2020-07-31
作者简介:刘刚(1974-),男,湖南,博士后,副教授,研究方向为红外成像制导。
基金资助:
航空科学基金(20130142004); 河南科技大学创新能力培育基金(2014ZCX010); 河南科技大学博士科研启动基金(0p001631)

Intelligent Detecting for Infrared Aerial Small Target Based on Non-subsampled Contourlet Transform

Liu Gang^1,2,3, Xu Xingyuan¹, Zhou Heng², Zhang Xitao²

1. College of Information Engineering, Henan University of Science and Technology, Luoyang 471023, China;
2. China Airborne Missile Academic, Luoyang 471009, China;
3. College of Information Engineering, Zhengzhou University, Zhengzhou 450001, China

Received:2014-11-25 Revised:2015-01-13 Online:2015-07-08 Published:2020-07-31

摘要/Abstract

摘要： 针对复杂背景下的远距离红外空中弱小目标检测问题,提出了一种基于非下采样轮廓波变换和BP神经网络的智能化检测方法。通过自适应结构元素的灰度形态学顶帽变换实现复杂背景的空域抑制。在非下采样轮廓波域构造高频子带系数的中心向量并进行综合形成距离像,实现复杂背景的频域抑制。以像素的灰度、水平、垂直和对角梯度、邻域均值和方差6个特征为输入量,通过大样本训练构造3层BP神经网络,实现空中弱小目标检测。仿真实验结果表明：可以实现对红外复杂背景的有效抑制,稳定准确地检测出信噪比大于2的空中弱小目标。

关键词: 红外小目标, 背景抑制, 非下采样轮廓波变换, 顶帽变换, BP神经网络

Abstract: Aiming at the problem of infrared aerospace small target's detecting under complex background, an intelligent algorithm was proposed based on the non-subsampled contourlet transform and BP neutral network. By using the morphologic top-hat transform which had adaptive structural element, some infrared background was suppressed. By defining the center vector of subband coefficients, the proposed method constructed the synthetical image at high frequency and suppressed the complex background further. Subsequently, taking pixel's gray level, horizontal gradient, vertical gradient, diagonal gradient, neighbour mean and neighbour variance as input character vector, a BP neutral network which had three layers was constructed by training and infrared small target was detected in the end by this network. The experimental results show that the method can not only realize the suppression for the infrared complex background effectively, but also detect the small target whose SNR is above 2 steadily.

Key words: infrared small target, background suppression, top-hat transform, non-subsampled contourlet, BP neutral network

中图分类号:

TP391.41

刘刚, 徐兴元, 周珩, 张喜涛. 基于非下采样轮廓波变换的智能化红外空中小目标检测[J]. 系统仿真学报, 2015, 27(7): 1490-1495.

Liu Gang, Xu Xingyuan, Zhou Heng, Zhang Xitao. Intelligent Detecting for Infrared Aerial Small Target Based on Non-subsampled Contourlet Transform[J]. Journal of System Simulation, 2015, 27(7): 1490-1495.

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