Full text: Proceedings, XXth congress (Part 1)

    
     
     
   
   
   
   
  
  
    
   
   
  
    
   
  
  
   
     
   
   
    
  
  
3.1 OrthobasePro v8.6 
In use of the OrthobasePro, there are some stages that should be 
followed. In the following, the steps will be described. 
3.1.1 Model definition 
The first step is to define the kind of model for OrthobasePro, 
which is shown in Figure 10. 
  
PP A E S xj 
Select Geometric Model 
  
Digital Camera ES i 
Video Camera [Videography) | Cancel | 
Non-Metric Camera | = 
DPPDE | | 
æ| 
Generic Pushbroom 
SPOT Pushbroom 
IRS-1C Pushbroom 
IKONOS 
  
  
  
Figure 10. Model definition in Orthobase Pro v8.6 
The SPOT Pushbroom model is selected. In OrthobasePro v8.6, 
this model is designed for SPOT1-4, but it has the capability to 
be modified for SPOT 5. The SPOT model in ERDAS uses the 
bundle adjustment and it uses polynomial order for orbit 
modeling. 
3.1.2 Data Input 
The images imported into the software with Import/Export 
module. The user can use TIFF format for import because in 
ERDAS Imagine v8.6, there is no option to read the data and 
the header of the data directly as SPOT 5 image. After 
importing, the images are added to the OrthobasePro. 
3.1.3 Interior Orientation (Frame Editor) 
In this stage, the interior orientation parameters for SPOT 5 will 
be modified, e.g. the user will give the focal length, number of 
pixels in each line and the incidence angle. As the 
OrthobasePro uses polynomial for orbit modeling, user should 
specify the polynomial order for the orbital parameters such as 
X, Y, Z, Omega, Phi, Kappa. 
3.1.4 Point Measurement 
The next step is to select Ground Control Points, Check Points 
and Tie Points. For Rasht region, with using the provided 
digital maps, the 17 GCPs and CPs (Full Control Point) are 
selected. These points are in accuracy of 1:25000 maps. The 
selected points are the same as the points selected for PCI 
software. Figure 2, Figure 3, and Figure 4 show the distribution 
of the GCPs and CPs. The digital maps do not cover the whole 
imagery area and they cover about 6096-7596 of the whole 
images. In GCPs selection, it was tried to distribute them in the 
entire image. As a result, this kind of coverage makes the error 
to be distributed in the entire image homogenously and doesn't 
let extrapolation happen in the image. 
The ERDAS Imagine also has the ability to extract the tie 
points automatically. Because it is tried the conditions to be 
similar for both software, again 13 automatic tie points selected. 
But the tie points are not the same as they are dependent to the 
software algorithm to find and extract them. 
3.1.5  Triangulation 
After doing point measurement process, the bundle adjustment 
(triangulation calculation) will be done. The test has been done 
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B1. Istanbul 2004 
    
   
    
     
   
     
    
   
   
    
   
  
     
   
   
    
     
  
   
    
   
  
  
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with changing the GCPs to CPs and vice versa and also 
removing Tie points or contributing them in the calculations. 
The result of these tests is: 
1- The role of tie points in the calculations is important. 
2- The minimum number of GCPs for solving model is Figure 
dependent to the polynomial order selected by the black 
user for the orbit parameters. The polynomial order 
for each parameter that is selected for this study is: X 
order 2, Y order 2, Z order 2, Omega order 0, Phi 
order 0 and Kappa order 2. Based on that, the 
minimum number of GCPs selected is 6 points for 
each image (or 6 common GCPs). 
There 
RMS E 
Avera 
proces 
The result of the bundle adjustment for 6 GCPs for each image 
and 13 tie points is shown in Table 3. 
  
  
  
  
  
  
  
  
  
  
GCP CP 
iround X (m) 0.001 16.118 
Ground Y (m) 0.016 20.219 
Ground Z (m) 0.000 38.564 
Image x (pixel) 3.246 3.563 
Image y (pixel) 1.922 1.764 
  
Table 3. The RMSE of the Orthobase v8.6 bundle adjustment 
There are 6 GCPs per image, 5 common CPs, and 13 tie points 
Please see the Appendix I for more information about the used 
points. 
3.1.6 Automatic DTM Extraction 
After solving orbit modeling parameters, the software can start 
processing for automatic DTM extraction. This software uses 
Correlation function for image matching. 
3.1.7 The DTM result 
Table 4 shows the error analysis on GCPs and CPs in the DTM. 
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
Calculated GCP/CP 
ID Elevation (m) Elevation (m) Difference (m) 
] -28.225 -25.814 -2.411 
2 No matching 
3 No matching 
4 No matching 
5 -100.011 5.418 -105.43 
6 No matching 
7 418.863 499.656 -80.793 
8 203.786 218.974 -15.188 
9 115.024 11.032 103.09 
10 -31.894 -22.514 -9.38 
11 118.47 -22.267 140.74 
12 9.925 1.576 8.349 
]3 111.034 49.411 61.623 
14 -69.504 -22.076 -47.428 
15 -28.559 -21.47 -7.089 
16 231.363 474.2 -242.84 
17 29.424 -11.028 40.452 
  
  
  
  
  
  
Table 4. The error analysis on GCPs and CPs in the generated 
DTM by OrthobasePro v8.6
	        
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