正射影像应急快速更新技术研究

发布时间：2018-03-13 18:00

本文选题：正射影像　切入点：快速更新　出处：《解放军信息工程大学》2013年硕士论文　论文类型：学位论文

【摘要】：随着数字摄影测量和遥感技术的发展，正射影像的制作及更新在方法和技术上已有了很大的进步，但是在局部正射影像更新方面还缺乏研究与实践，而在突发事件的测绘保障中对局部正射影像的更新却有着一定的需求。针对这一矛盾，本文从实际需要出发，以局部正射影像为对象，研究了局部正射影像快速更新技术相关的理论与算法，其关键部分包括：特征提取、匹配及匹配策略、同名不规则三角网的构建与局部影像的更新、更新影像精度检测数据的获取及更新区域精度分析等技术。论文的主要工作和创新如下： 1.阐述了正射影像更新技术相关理论和算法的原理，并分析了当前对局部正射影像更新的需求情况； 2.为了保证获得完全正确的同名点，选择了一种特征点误匹配剔除算法，并对该算法进行了改进：以判断同名点连线是否交叉或夹角明显来剔除误匹配这一方法为基础，提出了一种基于同名点连接线角度对误匹配点进行剔除的算法。通过与其他误匹配剔除算法相结合，，形成多重约束条件的误匹配剔除方法，并用实验证明了这种方法的有效性； 3.以特征匹配、不规则三角网和重采样滤波器为基础，设计并实现了对局部正射影像的自动更新； 4.阐述了精度理论。为了检验局部正射影像更新技术的实用性，本文使用了一种新的精度评价方法对更新后的正射影像进行了精度评价：利用特征提取和匹配算法，提取更新后正射影像与旧正射影像在更新区域内的同名特征点对，以这些特征点和外业控制点的像点为精度检查点，计算更新区域内这些精度检查点对的较差及整体中误差，从而完成对影像精度的评价。
[Abstract]:With the development of digital photogrammetry and remote sensing technology, the making and updating of orthophoto image has made great progress in methods and techniques, but there is still a lack of research and practice in the area of local orthophoto image updating. However, there is a certain demand for updating the local orthophoto image in the surveying and mapping guarantee of unexpected events. In view of this contradiction, this paper starts from the actual needs and takes the local orthophoto image as the object. The theories and algorithms related to the rapid updating of local orthophoto images are studied. The key parts of the algorithms include feature extraction, matching and matching strategies, the construction of irregular triangular networks with the same name and the updating of local images. Update image precision detection data acquisition and update area precision analysis and other techniques. The main work and innovation of the thesis are as follows:. 1. The related theories and algorithms of orthophoto updating technology are introduced, and the current demand for local orthophoto image updating is analyzed. 2. In order to obtain exactly correct points of the same name, a feature point mismatch elimination algorithm is selected, and the algorithm is improved: the method is based on judging whether the line of the same name is crossed or the angle of the same name is obvious to eliminate the mismatch. In this paper, an algorithm for eliminating mismatch points based on the angle of the same name points connecting line is proposed. By combining with other mismatch elimination algorithms, the method of multi-constraint mismatching is formed, and the validity of this method is proved by experiments. 3. Based on feature matching, irregular triangulation and resampling filter, automatic updating of local orthophoto image is designed and realized. 4. The accuracy theory is expounded. In order to test the practicability of the local orthophoto image updating technique, a new accuracy evaluation method is used to evaluate the accuracy of the updated orthophoto image: feature extraction and matching algorithm are used to evaluate the accuracy of the updated orthophoto image. Extracting the pairs of the same name feature points between the updated orthophoto image and the old orthophoto image in the renewal area, taking these feature points and the image points of the field control points as the precision check points, calculating the difference of these precision check point pairs and the overall median error in the updated area. In order to complete the evaluation of image accuracy.
【学位授予单位】：解放军信息工程大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：P23;TP751

【参考文献】