- 期刊
Applying the Image Matching on Intensity Data for Boresight Calibration of Airborne LiDAR
影像匹配應用於光達強度資料從事軸角率定
摘要
空載光達系統，爲一種主動式之遙測技術用以快速獲取大量離散點三維坐標。空載光達點雲資料的系統誤差，其形成的原因很多，但主要來自於組成空載雷射掃描系統的三個子系統，亦即雷射測距系統(laser ranging system)、全球定位系統(GPS)以及導航系統(IMU)。本研究首先探討每一個軸角率定參數，其參數特性對掃描精度之影響，以及率定的方法。其次，介紹一種目前商用空載光達系統的率定方法；另就其操作上之缺點，提出以影像匹配技術選取連接點方式，替代人工選取方式，以提高軸角參數率定精度。結果顯示，使用實際率定飛航資料測試及地面控制點檢核，利用影像匹配自動選取連接點，確實可提高軸角參數率定精度。
並列摘要
Airborne laser scanning (ALS), also known as ”airborne LiDAR”, is an active remote sensing technique to capture surface terrain. Systematic errors in point clouds acquired by ALS may occur for many reasons. Three components of a laser system, namely, position (GPS), navigation (IMU), and range (laser scanner system), are sources of systematic errors. Firstly, each boresight misalignment parameter is discussed to assess its impact on data accuracy and methodology of recovery. The boresight calibration solution used by one of major commercial systems is introduced and the improvement on one of these approaches is proposed. The proposed automated method of extracting tie points to improve the current method on ALS system calibration can significantly upgrade the accuracy in tie point selection. Therefore, the accuracy of misalignment parameters is expected while applying a practical calibration flight.