基于视觉注意机制的UWB SAR叶簇隐蔽目标变化检测

doi:10.3969/j.issn.0372-2112.2016.01.007

电子学报 ›› 2016, Vol. 44 ›› Issue (1): 39-45.DOI: 10.3969/j.issn.0372-2112.2016.01.007

基于视觉注意机制的UWB SAR叶簇隐蔽目标变化检测

李超¹, 李悦丽¹, 安道祥¹, 王广学²

1. 国防科学技术大学电子科学与工程学院, 湖南长沙 410073;
2. 空军预警学院信息对抗系, 湖北武汉 430019

收稿日期:2014-07-09 修回日期:2014-12-21 出版日期:2016-01-25
- 作者简介:
- 李超 男,1990年5月出生,河南孟州人.2012年毕业于西安电子科技大学信息对抗专业,现为国防科学技术大学博士生,从事UWB SAR图像处理及其视觉认知方面的有关研究. E-mail:liusong.yue@163.com李悦丽女,1973年出生,湖南浏阳人,博士、副教授.现为国防科技大学电子科学与工程学院硕士生导师,主要从事合成孔径雷达成像以及实时信号处理等方面的研究工作.
- 基金资助:
- 国家自然科学基金 (No.61302194,No.61302146)

UWB SAR Change Detection of Foliage-Concealed Targets Based on Visual Attention

LI Chao¹, LI Yue-li¹, AN Dao-xiang¹, WANG Guang-xue²

1. College of Electronic Science and Engineering, National University of Defense Technology, Changsha, Hunan 410073, China;
2. Department of Information Countermeasures, Air Force Early Warning Academy, Wuhan, Hubei 430019, China

Received:2014-07-09 Revised:2014-12-21 Online:2016-01-25 Published:2016-01-25
- Supported by:
- National Natural Science Foundation of China (No.61302194, No.61302146)

摘要/Abstract

摘要：

在超宽带合成孔径雷达叶簇隐蔽目标检测中,传统的UWB SAR图像变化检测方法易受图像灰度值起伏和成像条件变化的影响,致使现有的变化检测算法的性能下降.本文根据人类视觉系统的生理结构和认知特点,提出了一种基于视觉注意机制的叶簇隐蔽目标变化检测算法.该方法使用视觉注意模型,将图像的多尺度特征信息融合为单幅视觉显著图像,并利用图像局部邻域信息和目标的空间相关特性对视觉显著图中视觉注意焦点进行分层筛选和变化检测.实验结果表明:本文中基于视觉注意机制的变化检测方法可以有效检测多时相UWB SAR图像中的叶簇隐蔽目标,较之传统的基于统计原理的变化检测方法,其检测速度更快,且对场景复杂的UWB SAR图像亦具有鲁棒性.

关键词: 低频超宽带合成孔径雷达, 叶簇隐蔽目标检测, 变化检测, 视觉注意机制

Abstract:

Traditional statistically-based UWB SAR image change detection is usually limited by large pixel value change between multi-temporal UWB SAR images in foliage-concealed targets detection.In order to deal with this problem, a new UWB SAR foliage target change detection algorithm based on bottom-up visual attention is brought up.In the algorithm, multi-scale image features are combined into a single visual saliency map by using the model of visual attention.Then the image local neighborhood information and spatial correlation are used to improve the performance of detection.Finally, the experimental results show that the algorithm can detect the foliage-concealed targets between multi-temporal UWB SAR images with less time and it is robust to registration error.

Key words: ultra wide bandwidth synthetic aperture radar (UWB SAR), foliage-concealed targets detection, change detection, visual attention

中图分类号:

TN957.51

李超, 李悦丽, 安道祥, 等. 基于视觉注意机制的UWB SAR叶簇隐蔽目标变化检测[J]. 电子学报, 2016, 44(1): 39-45.

LI Chao, LI Yue-li, AN Dao-xiang, et al. UWB SAR Change Detection of Foliage-Concealed Targets Based on Visual Attention[J]. Acta Electronica Sinica, 2016, 44(1): 39-45.

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基于视觉注意机制的UWB SAR叶簇隐蔽目标变化检测

UWB SAR Change Detection of Foliage-Concealed Targets Based on Visual Attention

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