The proposed method was compared with two conventional methods in natural world environments. A new calibration method that is based on zero-mean normalized cross-correlation and two stages least square method, is proposed to further improve the accuracy and stereo matching speed.
However, the proposed system requires quick calibration in flight because the baseline length is not fixed. As the baseline length of a typical stereo camera is fixed, once the camera is calibrated on the ground, it does not need to be calibrated again during the flight. This method performs high-precision stereo matching based on long-baseline lengths (approximately 1 m) during the flight by linking the RTK-GNSS and aerial image capture points. To overcome these challenges, this study proposes a high-precision measurement method that uses a drone equipped with a monocular camera and real-time kinematic global navigation satellite system (RTK-GNSS) for real-time processing. Therefore, they require extensive computation time and their measurement accuracy is not high if the 3D reconstruction result fails, several aerial photos must be captured again. Conventional crop height measurements performed using aerial drone images require 3D reconstruction results of several aerial images obtained through structure from motion.
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