基于多视影像匹配模型的倾斜航空影像自动连接点提取及区域网平差方法

发布时间：2019-06-18 19:36

【摘要】：自动可靠地获取精确且均匀分布的连接点并进行区域网平差解算,是使用倾斜航空影像进行高精度测绘、三维信息提取和三维城市模型构建等应用的前提。本文提出了一种实用化的大重叠率倾斜航空影像的全自动连接点匹配和联合区域网平差方法。一方面,针对倾斜航空影像因遮挡严重、尺度变化大和几何变形严重而引起的同名点匹配困难问题,充分利用POS数据和平均飞行高度等初始数据,同时顾及这些数据的误差,通过有效组合一种改进的ASIFT算法和基于窗口的多角度多视影像匹配模型(WMVM),使用由粗到细的多分辨率分层匹配策略完成连接点的全自动提取;另一方面,在传统的最小二乘光束法平差的基础上,根据倾斜航空影像数据的特点,提出了基于稳健估值原理的粗差自动探测与剔除关键算法。最后,利用多组典型试验区域的倾斜航空影像数据试验结果验证了所提算法的可靠性、精度和实际性能。
[Abstract]:It is the premise of high precision mapping, 3D information extraction and 3D urban model construction to obtain accurate and uniformly distributed connection points automatically and reliably and solve the adjustment of area network. In this paper, a practical automatic connection point matching and joint area network adjustment method for inclined aerial images with large overlap rate is proposed. On the one hand, in order to solve the problem of matching points of the same name caused by serious occlusion, large scale change and serious geometric deformation of inclined aerial images, the initial data such as POS data and average flight altitude are fully utilized, and the errors of these data are taken into account. An improved ASIFT algorithm and window-based multi-angle multi-view image matching model (WMVM), are effectively combined. The multi-resolution hierarchical matching strategy from thick to fine is used to complete the automatic extraction of connection points. On the other hand, on the basis of the traditional least square beam adjustment, according to the characteristics of inclined aerial image data, a key algorithm for automatic gross error detection and elimination based on robust estimation principle is proposed. Finally, the reliability, accuracy and practical performance of the proposed algorithm are verified by the test results of inclined aerial image data in several typical test areas.
【作者单位】：中国测绘科学研究院;武汉大学测绘学院;中国矿业大学(北京)地球科学与测绘工程学院;
【基金】：国家自然科学基金(41271374)~~
【分类号】：TP391.41

【相似文献】