无人机图像质量的组合权重模糊综合评价算法及应用

Combined Weight Fuzzy Comprehensive Evaluation Algorithm and Application of UVA Image Quality

为提高战场情报获取的效率,提出了对无人机拍摄图像“即拍即评”的方法,即在拍摄图像的同时自动评价图像质量,根据评价结果自动决定是否重拍,然后采用综合评价方法对同一目标的多幅图像按质量排序,将质量最佳的图像优先传送回地面,以节省无人机对地通信资源。最终,将影响图像质量的原因归结为运动抖动、光照不均和对焦不准3种因素,给出了对每种因素评价的指标以及对图像质量综合排序的算法,并通过实例检验了评价方法的有效性。

In order to improve the efficiency of battlefield intelligence acquisition,a method of“shooting and evaluating”images taken by UAVs is proposed,that is,the image quality is automatically evaluated while the images are being taken,and whether to retake is automatically determined according to the evaluation results,and then a comprehensive evaluation method is used to sort the multiple images of the same target,and the images with the best quality are sent back to the ground first to save UAV-to-ground communication resources.In the end,the reasons that affect the image quality are attributed to three factors:motion jitter,uneven illumination and inaccurate focus.The evaluation indicators of each factor and the algorithm for comprehensive ranking of image quality are given.Finally,the effectiveness of the evaluation method is verified by examples.