无人机载荷图像地理信息拼接及验证算法

UAV image mosaicking and verification algorithm with geographic information processing

在传统的视频图像处理技术中,图像内容的处理以及处理的准确性、快速性往往是研究者关注的重点,而无人机视频图像所携带的地理数据信息常常被忽略,从而导致在图像处理完成以后,图像仅包含场景信息而丢失地理信息数据,使得用户无法从图像处理结果中快速获取感兴趣目标的地理信息数据。为有效处理地理信息,带地理信息的无人机图像拼接算法及验证算法将地理信息数据看成是多通道双精度浮点型矩阵数据,可对其使用矩阵处理算法进行同步计算。同时,利用基于分组控制的带地理信息的图像拼接算法可提高执行大量图像拼接任务时的准确性和速度。实验结果表明,该算法能够有效地处理带地理信息的无人机图像,特别是在图像拼接方面。

In the traditional video and image processing technology field,researchers often focus on the processing of the image content,especially the accuracy and the speed.However,the geographic information data carried by UAV video and image is often ignored,resulting in the image only containing the scene information and losing the geographic data information after the image processing is complet-ed,so that the user cannot quickly obtain the geographic information of the target of interest from image processing results.In order to process the geographic information efficiently,an image mosaicking and verification algorithm for UAV image with geographic information regards geographic information data as multi-channel double floating-point matrix data,which can be calculated synchronously using matrix processing algorithms.Meanwhile,the accuracy and speed of a large number of image mosaicking tasks can be improved by using image-splicing algorithm based on grouping control with geographic information.The experimental results show that the proposed algorithm can effectively process the UAV image with geographic information,especially in image mosaicking.