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Near-automated orthorectification of archived aerial photographs
Journal of Applied Remote Sensing ( IF 1.7 ) Pub Date : 2022-07-01 , DOI: 10.1117/1.jrs.16.036505
Jae Sung Kim

The proposed objective was to develop a near-automated workflow for orthorectification of archived aerial photographs that overcomes the limited resources problem. Automation was implemented using the oriented fast and rotated brief (ORB) and random sample consensus (RANSAC) for conjugate points detection. Because it is difficult to determine the RANSAC threshold, the RANSAC threshold search for two step triangulation method was developed to find the threshold that resulted in the minimum three-dimensional misclosures at check points from the threshold candidates. For triangulation, the bundle block adjustment (BBA) with a minimal constraint and the absolute orientation were implemented. Although the absolute orientation still requires manual measurement of control points, the required number is usually less than that of traditional BBA, especially for longer strips. The control points were measured in relatively recent high-accuracy orthophotos and the digital elevation model. In the experiments, the archived aerial strip photographs were orthorectified using a differential rectification method with ∼1 m resolution. The first and second orthorectification experiments showed 1.31 m (X), 1.14 m (Y), and 1.88 m (X), 1.51 m (Y) of RMSE. The proposed workflow suggested is significant because it can save cost, time, and labor required for the orthorectification of archived aerial photographs while achieving reasonable accuracy.

中文翻译:

归档航空照片的近自动正射校正

提议的目标是开发一个近乎自动化的工作流程,用于克服资源有限问题的存档航空照片的正射校正。自动化是使用定向快速旋转简报 (ORB) 和随机样本一致性 (RANSAC) 来实现共轭点检测的。由于难以确定 RANSAC 阈值,因此开发了 RANSAC 阈值搜索两步三角法,以从阈值候选中找到导致检查点处的最小三维错误闭合的阈值。对于三角测量,实施了具有最小约束和绝对方向的束块平差 (BBA)。虽然绝对定向仍需要人工测量控制点,但所需数量通常比传统BBA少,特别是对于较长的条带。控制点是在相对较新的高精度正射影像和数字高程模型中测量的。在实验中,存档的航拍照片使用分辨率约为 1 m 的差分校正方法进行正射校正。第一次和第二次正射校正实验显示 RMSE 分别为 1.31 m (X)、1.14 m (Y) 和 1.88 m (X)、1.51 m (Y)。建议的工作流程非常重要,因为它可以节省存档航空照片正射校正所需的成本、时间和劳动力,同时达到合理的准确性。使用分辨率为~1 m 的差分校正方法对存档的航拍照片进行正射校正。第一次和第二次正射校正实验显示 RMSE 分别为 1.31 m (X)、1.14 m (Y) 和 1.88 m (X)、1.51 m (Y)。建议的工作流程非常重要,因为它可以节省存档航空照片正射校正所需的成本、时间和劳动力,同时达到合理的准确性。使用分辨率为~1 m 的差分校正方法对存档的航拍照片进行正射校正。第一次和第二次正射校正实验显示 RMSE 分别为 1.31 m (X)、1.14 m (Y) 和 1.88 m (X)、1.51 m (Y)。建议的工作流程非常重要,因为它可以节省存档航空照片正射校正所需的成本、时间和劳动力,同时达到合理的准确性。
更新日期:2022-07-01
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