电力巡检的移动作业无人机倾斜影像三维采集模型

Mobile operation UAV tilt image 3D acquisition model for power inspection

针对传统无人机倾斜影像三维采集模型采集精度低、耗时长的缺点,提出了电力巡检的移动作业无人机倾斜影像三维采集模型。根据无人机倾斜影像能量与时间的变化关系,利用无人机倾斜影像的统计结构元特征、结构元连通性特征和颜色连通性特征,融合无人机倾斜影像采集目标特征,提取无人机倾斜影像信息;通过构造无人机倾斜影像融合模型,建立像素融合分类函数,对无人机倾斜影像进行平滑处理;计算无人机倾斜影像的平面融合度,实现移动作业无人机倾斜影像的三维采集。实验结果表明,提出的无人机倾斜影像三维采集模型可以改善传统采集模型的问题,提高无人机倾斜影像的采集精度并缩短采集耗时。

Aiming at the shortcomings of low accuracy and long time consuming of traditional UAV tilt image 3D acquisition model,a mobile UAV tilt image 3D acquisition model for power inspection is proposed. According to the change relationship between the energy and time of the UAV tilt image,the UAV tilt image information is extracted by fusing the UAV tilt image acquisition target features using the statistical structural element features,structural element connectivity features and color connectivity features of the UAV tilt image;By constructing the fusion model of UAV tilt image and establishing the pixel fusion classification function,the UAV tilt image is smoothed;The plane fusion degree of UAV tilt image is calculated to realize 3D acquisition of mobile UAV tilt image. The experimental results show that the proposed 3D acquisition model of UAV tilt images can improve the problems of traditional acquisition models,improve the acquisition accuracy of UAV tilt images and shorten the acquisition time.