计算机工程2012，Vol.38Issue(15)：204-207,4.DOI:10.3969/j.issn.1000-3428.2012.15.057
基于主题模型的高分辨率遥感影像变化检测
High Resolution Remote Sensing Image Change Detection Based on Topic Model
摘要
Abstract
A novel change detection method based on topic model is proposed for high resolution remote sensing images. It takes every pixel pairs of the bi-temporal remote sensing images as a basic unit, and extracts their low-level features, such as the relevacy, mean value, standard deviation of neighbor brightness, the slope and intercept of neighbor regression line. Then the high-level visual words mapped by theses low-level features are generated. After that, by utilizing the classical topic model of Latent Dirichlet Allocation(LDA) to analyze, the latent topic information is to be found, that is, changed or unchanged, thereby the goal of change detection is achieved. Experimental results show that this method can effectively detect changes in high resolution remote sensing images.关键词
主题模型/视觉单词/高分辨率/潜在狄利克雷分配/遥感影像/变化检测Key words
topic model/ visual word/ high resolution/ Latent Dirichlet Allocation(LDA)/ remote sensing image/ change detection分类
信息技术与安全科学引用本文复制引用
程晶,霍宏,方涛..基于主题模型的高分辨率遥感影像变化检测[J].计算机工程,2012,38(15):204-207,4.基金项目
国家“973”计划基金资助项目(2006CB701303) （2006CB701303）
国家自然科学基金资助项目(41071256) （41071256）
教育部高等学校博士点基金资助项目(20090073110018) （20090073110018）
