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一种图像序列平稳性和相关性检验的天气场景分类方法
引用本文:赵旭东,刘鹏,刘家锋,唐降龙. 一种图像序列平稳性和相关性检验的天气场景分类方法[J]. 计算机研究与发展, 2011, 48(11): 1973-1982
作者姓名:赵旭东  刘鹏  刘家锋  唐降龙
作者单位:哈尔滨工业大学计算机科学与技术学院 哈尔滨 150001
基金项目:国家自然科学基金项目(60702032); 哈尔滨工业大学自然科学研究创新基金项目(HIT.NSRIF.2008.63); 中国航天工业创新基金项目(CAST200814)
摘    要:提出一种利用图像序列的平稳性和相关性检验的天气场景分类方法.首先,给出天气场景的定义和分类标准;其次,该方法通过分段逆序平稳性检验,提出图像均值子序列逆序总数数学期望和方差的计算方法,将天气场景分为平稳性天气场景和非平稳性天气场景;最后,提出自相关函数的分类检验方法,建立对待分类场景图像序列的激变描述,完成对其所属静态...

关 键 词:天气环境  场景分类  平稳性检验  相关性检验  图像序列处理

Stationarity and Correlation Test of Image Sequences Based Classification on Scenes with Different Weather Conditions
Zhao Xudong,Liu Peng,Liu Jiafeng,Tang Xianglong. Stationarity and Correlation Test of Image Sequences Based Classification on Scenes with Different Weather Conditions[J]. Journal of Computer Research and Development, 2011, 48(11): 1973-1982
Authors:Zhao Xudong  Liu Peng  Liu Jiafeng  Tang Xianglong
Affiliation:Zhao Xudong,Liu Peng,Liu Jiafeng,and Tang Xianglong (School of Computer Science and Technology,Harbin Institute of Technology,Harbin 150001)
Abstract:Classification on different weather conditions provides first step support for outdoor scene modeling,which is a core component in many different applications of image sequence analysis and computer vision.In this paper,an objective classification method on scenes with different weather conditions is presented with two steps based on stationarity and correlation test of image sequences.First of all,scenes with various weather conditions are considerably described,on which an objective classification standar...
Keywords:weather condition  scene classification  stationarity test  correlation test  image sequence processing  
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