一种基于低空图像的红外场景仿真方法研究  

Research on Infrared Scene Simulation Method Based on Low-level Image

作　　者：宋庆峰[1] 吕绪良[1] 隋明序 卢爱军[1] 

机构地区：[1]解放军理工大学,南京210007

出　　处：《光电技术应用》2015年第1期76-79,共4页Electro-Optic Technology Application

摘　　要：为了获得较逼真的红外图像,提出了一种利用低空图像反演红外图像的新方法。首先,利用改进的K-均值聚类算法将低空图像按照不同的地物属性进行材质分类,进而计算出特定波段内进入仿真红外热像仪的总辐射能,并模拟传感器成像原理得到仿真红外图像。结合该算法和实测环境气象参数完成了某区域红外场景序列图的生成。实验结果表明,该方法生成的时序图与实拍红外图像的变化规律基本一致,从而为低空图像仿真生成红外图像提供了一种有效途径。For getting more real Infrared images, a new method of retrieving Infrared images using low-level im- ages is proposed. Firstly, low-level images with different material properties are classified according to ground mate- rial properties using improved K-means clustering algorithm. And then, the total radiant energy into simulation In- frared thermal imaging system in special bands is calculated. And simulation Infrared images are obtained through simulating sensor imaging principle. The generation of Infrared scene sequence images in some area is finished with the algorithm and real measurement environment meteorological parameters. Experimental results show that the se- quence images generated with the method basically accord with the change rules of real Infrared images, so an effec- tive way is provided for low-level images simulation generation.

关 键 词：红外图像 仿真 K-均值 灰度 分类 

分 类 号：TN216[电子电信—物理电子学]