无人机航拍图像锐度评价方法
发布时间：2019-01-05 02:18
【摘要】：无人机航拍的图像会受到横风干扰而产生模糊,因此亟需一种锐度评价方法,能够在短时间内从大量图像中有效地甄别出存在问题的部分。本文介绍了一种基边缘检测和直方图信息分析的锐度评价方法,通过锐度函数的构建和修正对照片进行批量检验,不仅使评价结果客观准确,且运算量小适合推广。该方法能够帮助外业人员筛选存在模糊问题的照片,对提高无人机航拍数据采集工作的质量和效率有较大的帮助。
[Abstract]:The images of UAV aerial photography will be blurred by crosswind disturbance, so it is urgent to use an acuity evaluation method to effectively identify the defective parts from a large number of images in a short period of time. In this paper, a method of acuity evaluation for base edge detection and histogram information analysis is introduced. By constructing and modifying the sharpness function, a batch inspection of photographs is carried out, which not only makes the evaluation results objective and accurate, but also has a small amount of computation suitable for popularization. This method can help field workers to screen photos with fuzzy problems, and improve the quality and efficiency of aerial photography data acquisition of UAV.
【作者单位】： 浙江华东测绘地理信息有限公司;昆明理工大学;
【分类号】：P23
，
本文编号：2401130
[Abstract]:The images of UAV aerial photography will be blurred by crosswind disturbance, so it is urgent to use an acuity evaluation method to effectively identify the defective parts from a large number of images in a short period of time. In this paper, a method of acuity evaluation for base edge detection and histogram information analysis is introduced. By constructing and modifying the sharpness function, a batch inspection of photographs is carried out, which not only makes the evaluation results objective and accurate, but also has a small amount of computation suitable for popularization. This method can help field workers to screen photos with fuzzy problems, and improve the quality and efficiency of aerial photography data acquisition of UAV.
【作者单位】： 浙江华东测绘地理信息有限公司;昆明理工大学;
【分类号】：P23
，
本文编号：2401130
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