奇异值分解和阈值分割的遥感自适应变化检测Adaptive change detection algorithm of remote sensing images based on SVD and OTSU
邓小炼;王星;艾思敏;王长耀;沈延峰;
摘要(Abstract)：
针对传统遥感变化检测算法中差值影像构造方法不容易提取弱变化信息,以及变化阈值需要人工干预的不足,提出一种基于奇异值分解(SVD)和最大类间方差法(OTSU)阈值分割的遥感影像变化检测算法。首先计算两期遥感影像的多波段差值影像,对其进行矢量化后所构造矩阵进行奇异值分解,并计算差值影像的变化强度,选取奇异值分解主分量投影和变化强度作为表征两期影像变化的特征量;然后通过最大类间方差法对上述两个特征量进行阈值分割,得到变化检测结果;最后通过对比实验以及精度验证,证明了该变化检测方法相比传统方法能够更精确地提取出变化信息,而且能够自适应获取分割阈值。
关键词(KeyWords)： 变化检测;奇异值分解SVD;最大类间方差法OTSU
基金项目(Foundation): 中国地质调查局地调项目(1212011120302)
作者(Authors): 邓小炼;王星;艾思敏;王长耀;沈延峰;
DOI: 10.16251/j.cnki.1009-2307.2016.08.008
参考文献(References)：
- [1]SINGH A.Digital change detection techniques using remotely sensed data[J].International Journal of Remote Sensing,1989,10(6):989-1003.
- [2]COPPIN P,JONCKHEERE I,NACKAERTS K,et al.Digital change detection methods in ecosystem monitoring:a review[J].International Journal of Remote Sensing,2004,25(9):1565-1596.
- [3]盛钊,高鑫.多波段遥感影像变化检测中差异影像构造研究[J].电子测量技术,2013,36(4):58-62.
- [4]LUNETTA R,ELVIDGE C.Remote sensing change detection:environmental monitoring methods and applications[M].Abingdon:Taylor&Francis,1999.
- [5]CELIK T.Unsupervised change detection in satellite images using principal component analysis and Kmeans clustering[J].IEEE Geoscience and Remote Sensing Letters,2009,6(4):772-776.
- [6]GHOSH S,BRUZZONE L,PATRA S,et al.A context-sensitive technique for unsupervised change detection based on Hopfield-type neural networks[J].IEEE Transactions on Geoscience and Remote Sensing,2007,45(3):778-789.
- [7]BOVOLO F,BRUZZONE L,MARCONCINI M.A novel approach to unsupervised change detection based on a semisupervised SVM and a similarity measure[J].IEEE Transactions on Geoscience and Remote Sensing,2008,46(7):2070-2082.
- [8]吴柯,牛瑞卿,王毅,等.基于PCA与EM算法的多光谱遥感影像变化检测研究[J].计算机科学,2010,37(3):282-284,296.
- [9]陈晋,何春阳,史培军,等.基于变化向量分析的土地利用/覆盖变化动态监测(I):变化阈值的确定方法[J].遥感学报,2001,5(4):259-266.
- [10]马国锐,李平湘,秦前清,等.基于融合和广义高斯模型的遥感影像变化检测[J].遥感学报,2006,10(6):847-853.
- [11]张辉,王建国.一种基于主分量分析的SAR图像的变化检测算法[J].电子与信息学报,2008,30(7):1727-1730.
- [12]ZHANG Jun,HU Jinglu.Image segmentation based on2DOtsu method with histogram analysis[C]//Proc of International Conference on Computer Science and Software Engineering,IEEE Computer Society.[S.l.]:[s.n.],2008:105-108.
- [13]JENSEN J R.Introductory digital image processing:a remote sensing perspective[M].New Jersey:Prentice Hall,2004.
- [14]DAI X,KHORRAM S.The effects of image misregistration on the accuracy of remotely sensed change detection[J].IEEE Transaction on Geoscience and Remote Sensing,1998,6(5):1566-1577.
- [15]SONG C,WOODCOCK C E,SETO K C,et al.Classification and change detection using Landsat TM data:when and how to correct atmospheric effect?[J].Remote Sensing of Environment,2001,75(2):230-244.