空載光達(Airborne LIDAR)及地面光達(Ground-based LIDAR)系統能迅速地收集空間三維資料,提供豐富的物空間幾何訊息;而像片資料則具有較豐富的輻射資訊,便於影像判讀,但其空間三維幾何必須藉助方位求解及交會定點才能確定。因此結合光達資料與攝影測量方法應用之一即為如何藉助從光達資料中萃取的物空間特徵(如點、線、面特徵)作為像片求解外方位參數之控制資料。 本研究利用三維的光達資料,從中萃取物空間直線特徵(本文稱為控制直線)作為控制資料,利用直線特徵在物、像空間與投影中心之幾何關聯求解像片外方位參數,並在數學模式中引入控制直線之誤差估計量,藉以合理化平差程序獲致較佳的外方位參數解算成果。本研究中實例之分析除了說明光達控制直線用於求解單張像片外方位參數之實用性,並闡述平差計算後之誤差特性。
Airborne and ground-based LIDAR systems are able to quickly support the tasks of three dimensional spatial data acquisition and provide users with abundant geo-spatial information. Optical images, on the other hand, recorded with adequate radiometric detail offer advantages for better interpretation of the scene, three dimensional coordinates of object points can only be determined after orientation and intersection steps, however. Thus, one of the apparent gains in fusing LIDAR data sets with photogrammetry is to solve the photo orientation by using control information resulting from extracting features from LIDAR data sets. This study aims at employing control lines extracted from LIDAR data sets solving for single photo orientation. The functional model describing the geometric relationships among perspective center, line observations in image space, and that in object space, the random model characterizing the control line measuring errors both in image space and object space are established and tested in this work. The experimental results suggest the application potential of fusing LIDAR data sets with images for the task of single photo orientation.