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作 者:鲁希团 吕慧 田雪涛 王健[2] LU Xituan;LYU Hui;TIAN Xuetao;WANG Jian(Xi'an ASN Technology Group Co.,Ltd.,Xi'an 710065,China;No.365 Institute,Northwestern Polytechnical University,Xi'an 710072,China)
机构地区:[1]西安爱生技术集团公司,西安710065 [2]西北工业大学第三六五研究所,西安710072
出 处:《电光与控制》2020年第5期74-79,共6页Electronics Optics & Control
基 金:陕西省重点产业链项目(20192DLGY14-02-02)。
摘 要:随着无线电传输速率提高,无人机获取的可见光图像与红外图像可同时下传至地面站,基于两类图像融合可获取更多战场情报。现有技术依靠数字图像处理的方法实现,运算量大,对硬件性能要求高。针对此问题,以2块DM642为主CPU,分别处理红外图像与可见光图像。首先提取红外图像中指定区域目标特征,通过无人机与机载摄像机姿态信息解算红外图像目标区域地理坐标,并将其转换为可见光图像屏幕坐标,根据可见光摄像机与红外摄像机安装角与视场角对目标进行校正,按照像素灰度最大法将红外目标融合于可见光图像。经飞行试验验证,图像融合速度快,目标位置融合准确,满足系统要求。With the increase of radio transmission rate,the visible images and the infrared images acquired by UAVs can be downloaded to the ground station at the same time,and more battlefield information can be obtained based on the fusion of the two kinds of images.The existing technology relies on the method of digital image processing,which requires a large computation cost and high performance of hardware.To solve this problem,the system uses two DM642 as the main CPU to process the infrared images and the visible images respectively.Firstly,the target features of the designated area in the infrared image are extracted,and then the geographic coordinates of the target area in the infrared image are calculated by using the attitude information from the UAV and the airborne camera,and converted into the screen coordinates of the visible image.Then,the target is corrected according to the installation angle and field-of-view angle of the visible-light camera and the infrared camera,and the infrared target is fused into the visible image according to the method of maximum pixel gray level.The result of flight tests show that,the system has fast image fusion speed,accurate target fusion position,which meets the requirements to the system.
关 键 词:无人机 DM642 目标位置解算 可见光图像 红外图像 图像融合
分 类 号:TJ02[兵器科学与技术—兵器发射理论与技术]
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