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机构地区:[1]国防科技大学电子科学与工程学院空间电子与信息技术研究所,湖南长沙410073
出 处:《红外与激光工程》2009年第4期598-603,共6页Infrared and Laser Engineering
基 金:"十一五"目标特性预研基金项目;武器装备预研基金项目
摘 要:对于不同类型的地物背景而言,其光电特性参数属于不变特征,利用其差异可以判别地物背景的类型并为目标检测和识别提供有效依据。基于上述研究目的,提出一种基于光电特性参数的典型地物类型反演研究方法。首先构建了典型地物背景的单层热能交换模型,建立了相应的热平衡方程;其次综合考虑大气衰减因子与背景距离等因素影响,基于黑体定标试验得到红外图像灰度与背景表面温度的关系;然后构建了基于光电特性参数的典型地物热平衡函数,并采用假设检验的方法来反演背景物的类型;最后利用外场实测的不同时刻、不同地物背景的红外图像验证了方法的可行性,并对引起反演误差的主要因素进行了详细分析。Photoelectric character parameters are invariable according to different kinds of background, the difference of these parameters is used to distinguish the background type, and provide effective basis for target detection and recognition. Based on the above purposes, an inversion method of typical background type was put forward based on photoelectric character parameters. Firstly, the heat balance equation of ground surface was constructed based on the single-layer heat energy exchange model of typical ground. Secondly, the influences of air attenuation factors and background range were accounted, the relationship between the grey of IR image and the surface temperature of background was got by the black-body scaling test. Thirdly, the heat balance function of typical ground was formed based on the photoelectric character parameters, background type inversion was completed through suppose-verify process. Lastly, the algorithm was tested by outfield IR images of different backgrounds and obtained at different times, and the main factors, which brought the inversion errors, were analyzed. Test result shows that the algorithm is effective to inverse the background type.
分 类 号:TP753[自动化与计算机技术—检测技术与自动化装置]
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