与无人机图像匹配算法相结合的间接平差教学内容改革初探
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摘要
间接平差法是误差理论与测量平差基础中的经典平差法之一,是课程内容的重要组成部分。针对目前大多数测量平差教材与无人机图像处理结合较少,难以满足我院测绘专业学员培养特点的问题,本文尝试进行将间接平差理论与无人机图像匹配算法相结合的教学内容改革。给出间接平差法的基本原理与无人机图像匹配的主要步骤,指出在图像匹配过程中关键点是利用间接平差法解算变形参数。结合Matlab与无人机图像处理实例,实现间接平差解算图像匹配变形参数过程,给出了具体代码与结果。教学实践表明:与无人机图像匹配算法相结合的间接平差教学内容改革不仅加深了学员对原理的理解,提高了理论联系实际的能力,更有助于学员理解平差原理对无人机数据后处理的意义,有助于激发学员的学习兴趣与动力。
The indirect adjustment method is one of the classical adjustment methods in "Theory of Error and Base of Survey Adjustment",which is an important part of teaching contents. It is difficult to meet the our college training characteristics of surveying and mapping that application examples of most of adjustment textbooks are less combined with UAV image processing. The paper tries to explore reforming teaching contents on indirect adjustment combined with UAV image matching algorithm. The basic principle of indirect adjustment and the main steps of UAV image matching are presented. It is pointed out that the key point in the process of image matching is to use the indirect adjustment method to calculate the distortion parameters. Combined with Matlab and specific UAV image processing cases,indirect adjustment solves the image matching deformation parameters. The specific codes and results are showed in the paper. The study results show that reformation of teaching contents on indirect adjustment combined with UAV image matching algorithm can enhance students' understanding for theoretical knowledge and train their comprehensive ability to solve practical problems. it is also helpful for students to understand the meaning of the principle of adjustment to UAV data processing,which can stimulate students' interests and motivations.
The indirect adjustment method is one of the classical adjustment methods in "Theory of Error and Base of Survey Adjustment",which is an important part of teaching contents. It is difficult to meet the our college training characteristics of surveying and mapping that application examples of most of adjustment textbooks are less combined with UAV image processing. The paper tries to explore reforming teaching contents on indirect adjustment combined with UAV image matching algorithm. The basic principle of indirect adjustment and the main steps of UAV image matching are presented. It is pointed out that the key point in the process of image matching is to use the indirect adjustment method to calculate the distortion parameters. Combined with Matlab and specific UAV image processing cases,indirect adjustment solves the image matching deformation parameters. The specific codes and results are showed in the paper. The study results show that reformation of teaching contents on indirect adjustment combined with UAV image matching algorithm can enhance students' understanding for theoretical knowledge and train their comprehensive ability to solve practical problems. it is also helpful for students to understand the meaning of the principle of adjustment to UAV data processing,which can stimulate students' interests and motivations.
引文
[1]武汉测绘科技大学测量平差教研室.测量平差基础[M].北京:测绘出版社,2007.
[2]樊东昊,朱建军,周璀.附有限制条件的间接平差的图像配准算法及其应用[J].武汉大学学报:信息科学版,2015,40(8):1 075-1 079.
[3]周时伦.最小二乘影像匹配算法的实现与研究[J].信息通信,2013(4):35-36.
[4]王柏恒,郝卫峰,何希纯.总体最小二乘在GPS高程转换中的适用性分析[J].测绘与空间地理信息,2016,39(3):105-109.
[5]雷红涛,路婷婷,刘大维.基于最小二乘法的多影像像点自动匹配算法[J].工业控制计算机,2015,28(10):86-89.
[6]陶秋香,翟敏.基于Matlab的GPS网间接平差教学设计与实现[J].测绘与空间地理信息,2016,39(3):9-12.
[7]潘雄,付宗堂.Matlab软件在测量平差教学中的应用[J].测绘工程,2007,16(1):76-78.
[8]白征东.Matlab在测量平差教学中的应用[J].测绘通报,2009(11):73-76.
[9]高彩云,高宁,孙敬克.Matlab在测量平差课程教学中的尝试[J].科技信息,2009(24):198-199.
[2]樊东昊,朱建军,周璀.附有限制条件的间接平差的图像配准算法及其应用[J].武汉大学学报:信息科学版,2015,40(8):1 075-1 079.
[3]周时伦.最小二乘影像匹配算法的实现与研究[J].信息通信,2013(4):35-36.
[4]王柏恒,郝卫峰,何希纯.总体最小二乘在GPS高程转换中的适用性分析[J].测绘与空间地理信息,2016,39(3):105-109.
[5]雷红涛,路婷婷,刘大维.基于最小二乘法的多影像像点自动匹配算法[J].工业控制计算机,2015,28(10):86-89.
[6]陶秋香,翟敏.基于Matlab的GPS网间接平差教学设计与实现[J].测绘与空间地理信息,2016,39(3):9-12.
[7]潘雄,付宗堂.Matlab软件在测量平差教学中的应用[J].测绘工程,2007,16(1):76-78.
[8]白征东.Matlab在测量平差教学中的应用[J].测绘通报,2009(11):73-76.
[9]高彩云,高宁,孙敬克.Matlab在测量平差课程教学中的尝试[J].科技信息,2009(24):198-199.