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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-4/W12, 2019 5th International Conference on Geoinformation Science – GeoAdvances 2018, 10–11 October 2018, Casablanca, Morocco
COMPARATIVE ANALYSIS OF 3D PHOTOGRAMMETRY MODELING SOFTWARE PACKAGES FOR DRONES SURVEY
1 1 1,2,* 1,2 3 2 L. Hinge , J. Gundorph , U. Ujang , S. Azri , F. Anton , and A. Abdul Rahman
1Department of Geodesy, Denmark National Space Institute, Technical University of Denmark, Kgs. Lyngby, Denmark – (lhinge, jgundorph, ujang, norsu)@space.dtu.dk
2Department of Geoinformation, Faculty of Built Environment and Survey, Universiti Teknologi Malaysia, Johor, Malaysia – (mduznir, suhaibah, alias)@utm.my
3Yachay Tech University, School of Mathematical Sciences and Information Technology, Ecuador - firstname.lastname@example.org
Commission IV, WG IV/1 KEY WORDS: Photogrammetry, 3D Model, 3D Analysis, Drones Survey
Drones are becoming popular in spatial mapping or survey. The use of drones survey can be seen from it low flying heights (capable to create a clear images), accessible on difficult or non-friendly vehicle access areas, faster data acquisition and higher data resolution henceforth improve the quality of the survey. However, this paper focuses on the post-processing of drone images for 3D surface modeling. With the motivation of producing better 3D models, four software packages are used for comparison. Those software packages are eyesMap3D, Drone Deploy, Agisoft PhotoScan and Pix4Dmapper. The equipment used to ensure a high level of quality model is the Leica GPS1200+ stationary GPS module and the DJI Phantom 4 PRO drone. The Leica GPS1200+ stationary GPS module were used to track the exact position of tie points on the ground. Meanwhile the DJI Phantom 4 PRO drone is used as data inputs (images) for the software packages stated. In addition, the drone is used to fly over a golf course, with a challenge of homogenous surface for 3D surface modeling. Based on the output, it shows that each software packages produces slightly different outputs. This paper summarizes the outputs and discusses the key elements in each software packages. This variation might be useful for future references in 3D surface modeling that can conform in different applications requirements.
1. INTRODUCTION applications. In aerial photography, as is the focus of this report,
The purpose of this project is to compare different 3D modelling software and their capabilities in field use. Specifically it is to find the ease of modelling and precision of the software and compare these to their outputs. The data modelled was taken using a drone flying over a golf course three times. Then, by using one set of images, 3D model were created using alternatives software in order to see if there is a deviation of detail. Thus, we can deduce which software can provide the highest quality of 3D modelling. The use of drones or Unmanned Aerial Vehicle (UAV) in photogrammetry can be seen more practical in terms of time and costing. This can be seen in other research (Eisenbeiss, 2009; Nex and Remondino, 2014). However, not most cases can apply this method due to limitation of flying height, trees canopy and etc. On the other hand, this research seeks the UAV and photogrammetry outputs and it can benefited other research that requires 3D model such as (Izham et al., 2011; Suhaibah et al., 2016; Syahiirah and Uznir, 2018; Uznir et al., 2015).
flight lines of the aircraft are laid out on a flight map, spaced from each other in a way that will cause the photographs to overlap, covering a common region of the ground. This is called the sidelap. In addition to this, every photograph covers an area that overlaps with the area of the previously taken photograph. The overlap percentage describes the fraction of an image that is common with the adjacent image. Forward overlap is the relationship between 2 adjacent photographs along the flight line, and the side overlap describes the relationship between 2 adjacent flight lines. Both are illustrated in the Figure 1 below:
2. RESEARCH MOTIVATIONS
2.1 Photogrammetry Figure 1. Aerial photography (view from above) and overlap is
The process and method of photogrammetry is to establish the geometric relationship between an image and an object, as it existed at the time of the imaging event. From this relationship, metric information of the object can be derived. The process of photogrammetry is closely related to, and often overlaps with the fields of Remote Sensing and Computer Vision. A photogrammetric project is classified as that which requires satellite imagery, airborne imagery and close-range or industrial
shown in striped (source : http://www.seos-project.eu)
These sidelaps, and especially overlaps, are very important in photogrammetry for the following reasons:
They provide coverage of an entire ground area from several different viewpoints.
They allow all but the central region of every photograph to be discarded, during its construction of the mosaics.
This contribution has been peer-reviewed. https://doi.org/10.5194/isprs-archives-XLII-4-W12-95-2019 | © Authors 2019. CC BY 4.0 License. 95
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