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作 者:李可 周海渊[1] 王前学[1] 赵李健[1] LI Ke;ZHOU Hai-yuan;WANG Qian-xue;ZHAO Li-jian(China Satellite Maritime Tracking and Control Department,Jiangyin 214431,China)
出 处:《价值工程》2020年第33期219-221,共3页Value Engineering
摘 要:目标红外辐射测量现在已经广泛应用于光电测量领域。在实际测量中,大气吸收、散射,光学系统衍射和像差经常会使点目标辐射源产生能量弥散,从而造成实际点目标的图像弥散到周围像元,点目标变成类似面目标,目标能量分散、灰度值偏小。针对上述情况,目前存在多种处理方法,但都是把点目标弥散结果作为面目标进行处理,效果并不理想,误差较大。通过建立点目标的红外图像模糊退化模型,研究发现退化模型符合正态分布,基于正态分布准确定位成像的中心及边界。通过模型精确补偿,有效的提高了红外辐射测量系统点目标的测量精度。Target infrared radiation measurement has been widely used in the field of photoelectrometry.In the actual measurement,atmospheric absorption,scattering,optical system diffraction and aberration often diffuse the energy of the point target radiation source,thus causing the image of the actual point target to disperse to the surrounding pixels and the point target to become a similar plane target with scattered energy and small gray value.In view of the above situation,there are a variety of treatment methods,but they all treat the point target dispersion result as the surface target,the effect is not ideal,the error is large.By establishing the fuzzy degradation model of the infrared image of the point target,it is found that the degradation model conforms to the normal distribution,and the center and boundary of the image are accurately located based on the normal distribution.The precision of infrared radiation measurement system is improved by the model compensation.
分 类 号:V474[航空宇航科学与技术—飞行器设计]
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