垂直建筑物红外图象的灰度值预测

Prediction of the Gray Intensity of LW Infrared Images of Outdoor Vertical Building Surface

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。

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.