首页 | 本学科首页   官方微博 | 高级检索  
     

卫星侦察红外图像背景特征分析
引用本文:陈修桥, 胡以华, 李军梅, 陶小红. 卫星侦察红外图像背景特征分析[J]. 红外技术, 2005, 27(2): 143-146. DOI: 10.3969/j.issn.1001-8891.2005.02.011
作者姓名:陈修桥  胡以华  李军梅  陶小红
作者单位:电子工程学院,安徽,合肥,230037;电子工程学院,安徽,合肥,230037;电子工程学院,安徽,合肥,230037;电子工程学院,安徽,合肥,230037
基金项目:国防预研项目(编号41101010506,41322020102)
摘    要:以卫星侦察红外图像背景为研究对象,在分析其特点的基础上,讨论了可用于红外图像背景分类的特征量.为了描述卫星侦察红外图像背景的纹理特征,基于灰度共生矩阵和直方图,计算了能量、惯性矩、熵、相关性、灰度均值和方差等统计特征指标.通过大量样本的识别实验,结果也验证了文中所提取的纹理特征量可以有效识别卫星侦察红外图像的背景.

关 键 词:分类  纹理特征  红外图像  卫星
文章编号:1001-8891(2005)02-0143-04

Background Features Analysis of Satellite Infrared Image
CHEN Xiu-qiao, HU Yi-hua, LI Jun-mei, TAO Xiao-hong. Background Features Analysis of Satellite Infrared Image[J]. Infrared Technology , 2005, 27(2): 143-146. DOI: 10.3969/j.issn.1001-8891.2005.02.011
Authors:CHEN Xiu-qiao  HU Yi-hua  LI Jun-mei  TAO Xiao-hong
Abstract:The background of satellite infrared image is taken as an object of the study. Based on the trait analysis of satellite infrared image, the features, which can be used to classify the background of infrared image, are proposed. For describing the texture features of satellite infrared image, statistical measures included energy, inertia, entropy, correlation, gray mean and variance are computed on the base of gray co-occurrence matrix and one-dimensional histogram. A lot of tests validate that the texture features are efficient in classifying the background of satellite infrared image.
Keywords:classification  texture features  infrared image  satellite
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《红外技术》浏览原始摘要信息
点击此处可从《红外技术》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号