基于无人机影像的建筑物变化量提取研究

发布时间：2018-01-15 15:24

本文关键词：基于无人机影像的建筑物变化量提取研究　出处：《西安科技大学》2013年硕士论文　论文类型：学位论文

【摘要】：随着城市的快速发展，城市的变化也越来越明显为了能更好地为城市规划人员城市管理决策人员及时提供信息，有必要对城市的变化发展进行适时地监测本文利用无人机遥感影像来对城市地区人工建筑物的变化进行检测，根据城市地区人工建筑物的变化主要反映在高度上的变化这一特点，，首先研究了无人机航拍的原始影像如何生成数字表面模型（DSM），并提出了一种真正射影像的制作方法，接着考虑到不同时期DSM影像的变化可能会受到一些植被变化和道路变化的影响，本文利用生成的无人机影像对分割植被和道路区域的方法进行了研究文章最后利用两个不同时期的无人机航拍影像生成的两个不同时相的数字表面模型（DSM），在此基础上来检测那些城市地区人工建筑物的变化区域由于DSM影像上人工建筑物的变化和其它地物如树木等的变化都会在高度变化上反映出来，而本文检测最终目的只是为了了解城市区域建筑物的变化情况，所以本文通过不同时期的DSM差值图得到变化的区域，在这个区域中采用了梯度方向的直方图灰度匹配及直线特征匹配等方法来提取出城市区域变化的建筑物本文利用不同时期的西安mP灞地区无人机影像进行了实验，从实验结果分析得出，所提出的方法是具有可行性，同时突出了该方法的简单直观且易于操作的优点
[Abstract]:With the rapid development of cities, the changes of cities are becoming more and more obvious in order to better provide urban planners with timely information for urban management decision makers. It is necessary to monitor the development of urban changes in a timely manner this paper uses UAV remote sensing images to detect the changes of artificial buildings in urban areas. According to the characteristic that the changes of artificial buildings in urban areas are mainly reflected in the change of altitude, this paper first studies how to generate the digital surface model (DSM) from the original images of UAV aerial photography. A method of making real image is put forward, and then it is considered that the changes of DSM images in different periods may be affected by some changes of vegetation and roads. In this paper, the method of dividing vegetation and road area is studied by using the generated UAV images. Finally, two different phase digital surface models (DSM) generated by UAV aerial aerial images in two different periods are used. DSM). On this basis, to detect the changes of artificial buildings in urban areas because of the changes of artificial buildings in DSM images and other features such as trees will be reflected in the height changes. The final purpose of this paper is to understand the changes of buildings in urban areas, so this paper obtains the area of change by using the DSM difference map of different periods. In this area, histogram grayscale matching and linear feature matching are used to extract the changing buildings in urban area. In this paper, the UAV images of Xi'an MP Ba area in different periods are used for real application. Test. From the analysis of the experimental results, it is concluded that the proposed method is feasible, and the advantages of this method are simple, intuitive and easy to operate.
【学位授予单位】：西安科技大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：P237;TU198

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