计算机工程与应用2011，Vol.47Issue(25)：168-170,174,4.DOI:10.3778/j.issn.1002-8331.2011.25.044
遥感图像变化检测算法研究
Change detection algorithm in satellite images
摘要
Abstract
An unsupervised change detection algorithm in multi-temporal satellite images based on nonsubsampled Contourlet transform and pulse coupled neural network is proposed.This method makes a combination of both nonsubsampled Contour-let transform and pulse coupled neural network, and applies it to change detection initially.Experimental results demonstrate that the proposed method has a higher stability and accuracy against Gaussian and speckle noise compared with traditional algorithms.关键词
非下采样Contourlet变换/脉冲耦合神经网络/无监督变化检测/多时相卫星影像/遥感Key words
Nonsubsampled Contourlet Transform(NSCT)/Pulse Coupled Neural Network(PCNN)/unsupervised change detection/ multi-temporal satellite images/remote sensing分类
信息技术与安全科学引用本文复制引用
余银峰,贾振红,覃锡忠,杨杰,庞韶宁..遥感图像变化检测算法研究[J].计算机工程与应用,2011,47(25):168-170,174,4.基金项目
科技部国际科技合作项目(the International Cooperation Program Foundation of Ministry of Science in China under Grant No.2009DFA12870). （the International Cooperation Program Foundation of Ministry of Science in China under Grant No.2009DFA12870）
