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基于约束序贯M估计的时空域融合红外杂波抑制
引用本文:龙云利,徐晖,安玮,林两魁. 基于约束序贯M估计的时空域融合红外杂波抑制[J]. 航空学报, 2011, 32(8): 1531-1541. DOI: 11-1929/V.20110517.0903.001
作者姓名:龙云利  徐晖  安玮  林两魁
作者单位:1. 国防科学技术大学电子科学与工程学院,湖南长沙 410073;中国人民解放军75122部队,广西 桂林 541000
2. 国防科学技术大学电子科学与工程学院,湖南长沙,410073
摘    要:针对红外弱小目标检测中的强背景杂波干扰抑制问题进行研究,提出了一种基于参数约束序贯M估计的时空域融合自适应杂波抑制算法.该算法首先在分析序列图像帧间失配的基础上建立了一种改进的时空域融合背景预测模型,结合二维离散傅里叶快速变换图像配准和双线性插值方法进行灰度值估计;然后,基于约束序贯M估计方法进行模型参数的自适应估计,...

关 键 词:红外杂波抑制  目标检测  序贯M估计  时空域融合  图像配准
收稿时间:2010-09-19;

Spatial-temporal Fused Filtering for Infrared Clutter Suppression Based on Restricted Sequential M-estimation
LONG Yunli,XU Hui,AN Wei,LIN Liangkui. Spatial-temporal Fused Filtering for Infrared Clutter Suppression Based on Restricted Sequential M-estimation[J]. Acta Aeronautica et Astronautica Sinica, 2011, 32(8): 1531-1541. DOI: 11-1929/V.20110517.0903.001
Authors:LONG Yunli  XU Hui  AN Wei  LIN Liangkui
Affiliation:1.College of Electronic Science and Engineering,National University of Defense and Technology,Changsha 410073,China 2.Unit 75122,Chinese People’s Liberation Army,Guilin 541000,China
Abstract:Research is conducted on the intense clutter background removal so as to detect infrared small dim target. An adaptive spatial-temporal fused filtering algorithm for infrared clutter suppression is proposed based on restricted parametric sequential M-estimation. Firstly, an improved spatial-temporal fused prediction model for clutter background is presented on the analysis of the mismatch between the sequential images. And the image intensity is estimated by means of two-dimensional fast discrete Fourie transform (2DFT) and bilinear interpolation. Secondly, the model parameters are adaptively reckoned on restricted sequential M-estimation as the data sampled to double thresholds. Meanwhile, the forget factor and control factor are introduced to improve the robustness.The experiments show that the proposed algorithm not only perfectly removes the background under common circumstance but also effectively filters the intense clutter and preserves the targets signal,which holds fairly better performance and robust accommodation to environment than the existing ones.
Keywords:infrared clutter suppression  target detection  sequential M-estimation  spatial-temporal fusion  image registration
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