Commission V, ICWG V/IKEY WORDS: Automation, Exterior Orientation, Matching, Video, Tracking, GPS, Robust ABSTRACT:In this paper, we propose the automatic exterior orientation procedure for the Low-cost Unmanned Aerial Vehicle (UAV) photogrammetry. The Low-cost UAV has become useful tool for low altitude photogrammetry from the rapidly increasing of automatic control technique in past several years. However, automatic exterior orientation is still important issue. The most important point of automatic exterior orientation is the automatic detection of corresponding points in each still image. For this goal, the authors have developed the automatic corresponding point detection technique using both video Image and still images. The video image of this investigation is obtained with still images simultaneously. Therefore, the tracking result of video image gives robust correspondence information between each still image. Moreover, the exterior orientation procedure using GPS information from UAV and minimum ground control points have been investigated. This paper is structured as follows. At the first we describe the over view of automatic exterior orientation procedure in this investigation. As the next, the details of tracking of common feature points and robust bundle adjustment are described. Also, accuracy assessment of this automatic exterior orientation procedure is described. Finally some conclusion is given.

ABSTRACT:This paper proposes the automatic aerial photogrammetry procedure optimized for Micro UAV that has ability of autonomous flight. The most important goal of our proposed method is the reducing the processing cost for fully automatic reconstruction of DSM from a large amount of image obtained from Micro UAV. For this goal, we have developed automatic corresponding point generation procedure using feature point tracking algorithm considering position and attitude information, which obtained from onboard GPS-IMU integrated on Micro UAV. In addition, we have developed the automatic exterior orientation and registration procedure from the automatic generated corresponding points on each image and position and attitude information from Micro UAV. Moreover, in order to reconstruct precise DSM, we have developed the area base matching process which considering edge information. In this paper, we describe processing flow of our automatic aerial photogrammetry. Moreover, the accuracy assessment is also described. Furthermore, some application of automatic reconstruction of DSM will be desired.* Corresponding author. This is useful to know for communication with the appropriate person in cases with more than one author.