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Monday, May 21, 2018

PHOTOGRAMMETRIC SURVEYING AND 3D MODELING USING UNMANNED AERIAL VEHICLE ( DRONES ) --- PART 2 ( UAV Photogrammetric Survey )

                                                       DRONEWORK



                             UAV Photogrammetric survey
Photogrammetric approaches are is in use for the last 150 years. During that time, the photogrammetry experienced substantial growths from analogue to today's digital techniques (Uysal et al., 2015).  Photogrammetry helps in determining the geometric properties of objects from images. The output of photogrammetry is typically a map, a drawing or a 3D model of some real-world object or land mass. It is the art of making maps and precise measurements from photographs, especially from aerial surveying. Digital images captured from UAV are frequently processed using conventional methods or using the new and efficient techniques with the specific software. The advantages of using UAVs for photogrammetric surveying are that their quickness, position, and stabilisation can be controlled correctly, so successive, distortion-free above ground images of a site can be acquired, which can then be processed to create 3D point clouds, digital terrain models, contour maps, digital surface model or can also be merged into a 2D or 3D orthomosaic image.
                                 
The fundamental principle used by photogrammetry is aerial Triangulation. In this technique, we acquire data from at least two dissimilar points.  The persistence of taking images from more than 2 points is to generate lines of sight. Once these lines of sight are arranged, we linked them to trace a point where they encounter and thus analyse the coordinates of the desired point (Castillo et al., 2017). The ability to speedily take aerial image from vertical, horizontal, and oblique angles allows a high degree of accuracy and flexibility which basically cannot be achieved by any traditional means, or by terrestrial surveying (http://libguides.wustl.edu/drones4data).

Agisoft PhotoScan, Pix 4d mapper and other existing software supports measuring distances between control points, as well as of surface area and volume of the reconstructed 3D model. All these measurement are generally performed on the generated 3D mesh. For distance measurement the existing softwares enables measurements of direct distances between the points of the reconstructed 3D scene. The points used for distance measurement must be defined by placing markers in the corresponding locations. Model coordinate system must be also initialized before the distance measurements is performed. Alternatively, the model can be scaled based on known distance (scale bar) information. For measuring distance in the study site, we placed multiple markers above the buildings and in the front lawn, created scale bar from 3D view context menu and finally viewed the distance in estimated value mode in the Agisoft PhotoScan. Distance between cameras are also measured in the workspace in the similar manner. Surface area and volume means, or by terrestrial surveying (http://libguides.wustl.edu/drones4data).
                                     

                                     
                                 Figure 1 : snapshot showing markers taken above building and in lawn



                    Table 1: Details of the marker
Labels
X/East
Y/North
Z/Altitude(m)
Point 1
85.441448
23.412947
588.20
Point 2
85.441446
23.412949
574.12
Point 3
85.441471
23.412950
587.40
Point 4
85.441529
23.412773
587.14
Point 5
85.441621
23.412796
587.02
Point 6
85.441555
23.412972
587.95
Point 7
85.441508
23.413190
573.79
Point 8
85.441702
23.413247
573.65
Point 9
85.441476
23.413224
574.16
Point 11
85.441329
23.413388
575.14
Point 12
85.441412
23.413404
575.64





          

Table 2 Calculated distance

Labels


Distance(m)
 Point 1_Point 2
14.07
Point 7_Point 8
20.75
Point 4_Point 5
9.72
                                                
      

Agisoft PhotoScan, Pix 4d mapper and other existing software supports measuring distances between control points, as well as of surface area and volume of the reconstructed 3D model. All these measurement are generally performed on the generated 3D mesh. For distance measurement the existing softwares enables measurements of direct distances between the points of the reconstructed 3D scene. The points used for distance measurement must be defined by placing markers in the corresponding locations. Model coordinate system must be also initialized before the distance measurements is performed. Alternatively, the model can be scaled based on known distance (scale bar) information. For measuring distance in the study site, we placed multiple markers above the buildings and in the front lawn, created scale bar from 3D view context menu and finally viewed the distance in estimated value mode in the Agisoft PhotoScan. Distance between cameras are also measured in the workspace in the similar manner. Surface area and volume measurements of the reconstructed 3D model of the study area also performed after defining the scale and coordinate system of the scene. To measure surface area and volume, one has to use Measure Area and Volume command from the Tools menu. Surface area is measured in square meters, while mesh volume is measured in cubic meters. Volume measurement can be performed only for the models with closed geometry.


                                         
                                                




Watch  next part for more information .




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