The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Download
Publications Copernicus
Download
Citation
Articles | Volume XLI-B5
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B5, 93–97, 2016
https://doi.org/10.5194/isprs-archives-XLI-B5-93-2016
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B5, 93–97, 2016
https://doi.org/10.5194/isprs-archives-XLI-B5-93-2016

  15 Jun 2016

15 Jun 2016

ON FUNDAMENTAL EVALUATION USING UAV IMAGERY AND 3D MODELING SOFTWARE

K. Nakano1,4, H. Suzuki2, T. Tamino3, and H. Chikatsu4 K. Nakano et al.
  • 1Geospatial laboratory, Product Planning Department, AERO ASAHI CORPORATION
  • 2UAS Promotion Section, Sales Planning Department, AERO ASAHI CORPORATION
  • 3Research and Development Center, Product Planning Department, AERO ASAHI CORPORATION, 3-1-1, Minamidai, Kawagoe, Saitama, 350-1165, Japan
  • 4Division of Architectural, Civil and Environmental Engineering, Tokyo Denki University, Ishizaka, Hatoyama, Saitama, 350-0394, Japan

Keywords: UAV, Modeling, Photogrammetry, Structure from Motion / Multi-View Stereo, Accuracy evaluation

Abstract. Unmanned aerial vehicles (UAVs), which have been widely used in recent years, can acquire high-resolution images with resolutions in millimeters; such images cannot be acquired with manned aircrafts. Moreover, it has become possible to obtain a surface reconstruction of a realistic 3D model using high-overlap images and 3D modeling software such as Context capture, Pix4Dmapper, Photoscan based on computer vision technology such as structure from motion and multi-view stereo. 3D modeling software has many applications. However, most of them seem to not have obtained appropriate accuracy control in accordance with the knowledge of photogrammetry and/or computer vision. Therefore, we performed flight tests in a test field using an UAV equipped with a gimbal stabilizer and consumer grade digital camera. Our UAV is a hexacopter and can fly according to the waypoints for autonomous flight and can record flight logs. We acquired images from different altitudes such as 10 m, 20 m, and 30 m. We obtained 3D reconstruction results of orthoimages, point clouds, and textured TIN models for accuracy evaluation in some cases with different image scale conditions using 3D modeling software. Moreover, the accuracy aspect was evaluated for different units of input image—course unit and flight unit. This paper describes the fundamental accuracy evaluation for 3D modeling using UAV imagery and 3D modeling software from the viewpoint of close-range photogrammetry.