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垂直建筑物红外图象的灰度值预测
引用本文:曹华梁,丁明跃. 垂直建筑物红外图象的灰度值预测[J]. 计算机工程与应用, 2004, 40(28): 27-29
作者姓名:曹华梁  丁明跃
作者单位:华中科技大学图象识别与人工智能研究所教育部信息处理与智能控制重点实验室,武汉,430074
基金项目:国防科技重点实验室基金资助项目
摘    要:文章提出了一种通过处理不同时间和天气情况下拍摄到的室外垂直墙面的长波红外图象来预测其灰度值的方法。讨论了长波红外(8~12μm)成象系统中图象灰度值与目标温度关系;研究了室外墙面与其背景间的能量交换,建立了墙面红外图象灰度值与时间、天气参数和地理信息之间的方程;通过已知拍摄条件的建筑物的长波红外图象数据拟合方程中的常量,文章最后给出了实验结果。

关 键 词:长波红外  红外图象  灰度值  建筑物
文章编号:1002-8331-(2004)28-0027-03

Prediction of the Gray Intensity of LW Infrared Images of Outdoor Vertical Building Surface
Cao Hualiang Ding Mingyue. Prediction of the Gray Intensity of LW Infrared Images of Outdoor Vertical Building Surface[J]. Computer Engineering and Applications, 2004, 40(28): 27-29
Authors:Cao Hualiang Ding Mingyue
Abstract:This paper presents a method to predict gray intensity of outdoor vertical wall in a long-waved infrared(8~12μm)image by processing the IR images of the wall that are captured under different weathers and times.First,the re-lationship between the gray intensity and the temperature of object are derived.By using thermal physics,thermal trans-mission between building surface and its surrounding are analyzed.Then,an equation about the gray intensity of outdoor vertical building surface and the time ,weather parameters,and geographical information of the scene is established.The parameters of the equation are estimated from the observed infrared images.Experiment demonstrated the feasibility of the approach.
Keywords:LW-infrared  infrared image  gray intensity  building
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