一种新的空谱联合稀疏高光谱目标检测方法

doi:10.3969/j.issn.1000-1093.2014.06.013

兵工学报 ›› 2014, Vol. 35 ›› Issue (6): 834-841.doi: 10.3969/j.issn.1000-1093.2014.06.013

一种新的空谱联合稀疏高光谱目标检测方法

宋义刚¹, 吴泽彬^1,2,3，孙乐¹, 刘建军¹，韦志辉^1,3

(1.南京理工大学计算机科学与工程学院, 江苏南京 210094; 2.南京理工大学连云港研究院, 江苏连云港 222006;3.江苏省光谱成像与智能感知重点实验室江苏南京 210094)

收稿日期:2013-11-07 修回日期:2013-11-07 上线日期:2014-07-24
作者简介:宋义刚( 1967—) ，男，博士研究生
基金资助:
国家自然科学基金项目（61101194）；江苏省自然科学基金项目（BK2011701）；江苏省“六大人才高峰”项目（WLW-011）；高等学校博士学科点专项科研基金项目（20113219120024）；中国空间技术研究院创新基金项目（CAST201227）；中国地质调查局工作项目（1212011120227）

A Novel Spectral-spatial Sparse Method for Hyperspectral Target Detection

SONG Yi-gang¹, WU Ze-bin^{1,2, 3} , SUN Le¹, LIU Jian-jun¹, WEI Zhi-hui^{1, 3}

(1.School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, Jiangsu, China;2.Lianyungang Research Institute of Nanjing University of Science and Technology, Lianyungang 222006, Jiangsu, China;3.Jiangsu Key Lab of Spectral Imaging and Intelligent Sensing, Nanjing 210094, Jiangsu, China)

Received:2013-11-07 Revised:2013-11-07 Online:2014-07-24

摘要/Abstract

摘要： 目标检测是高光谱数据处理的重要应用之一，高光谱图像中空间和光谱信息的充分利用对于目标检测率的有效提升非常关键。提出一种新的联合稀疏表示的目标检测方法，将混合范数理论和算法应用于高光谱目标检测，在联合高光谱图像空间和光谱信息的基础上，建立了基于联合稀疏性约束的混合范数正则化数学模型，并利用交替方向乘子法对模型进行了优化求解。仿真实验结果表明，该方法能有效提高高光谱目标检测的准确性，降低虚警率。

关键词: 信息处理技术, 高光谱图像, 目标检测, 混合范数, 联合稀疏性, 交替方向乘子法

Abstract: Target detection is one of the most important applications of hyperspectral imagery (HSI). The traditional target detection techniques usually discard the spatial information of the target, resulting in a lower accuracy of detection. A novel simultaneous sparse representation model is proposed for HSI target detection. The proposed approach applies the theory and algorithm of mixed-norm to the hyperspectral target detection. By considering the combination of spectral information and spatial context of HSI, a model with a mixed-norm regularizaton based on the simultaneous sparse representation is proposed. And this model is finally solved via alternating direction mehtod of multipliers (ADMM) efficiently. The effectiveness and accuracy of the proposed simultaneous sparse representation model and algorithm are demonstrated by experimental results on a real hyperspectral images.

Key words: information processing, hyperspectral imagery, target detection, mixed norm, simultaneous sparsity, altermation direetion mehtod of multipciers

中图分类号:

TG156

宋义刚, 吴泽彬，孙乐, 刘建军，韦志辉. 一种新的空谱联合稀疏高光谱目标检测方法[J]. 兵工学报, 2014, 35(6): 834-841.

SONG Yi-gang, WU Ze-bin , SUN Le, LIU Jian-jun, WEI Zhi-hui. A Novel Spectral-spatial Sparse Method for Hyperspectral Target Detection[J]. Acta Armamentarii, 2014, 35(6): 834-841.

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一种新的空谱联合稀疏高光谱目标检测方法

A Novel Spectral-spatial Sparse Method for Hyperspectral Target Detection

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