Full text: Proceedings, XXth congress (Part 3)

  
  
   
    
  
  
  
   
   
   
   
   
   
  
  
     
     
   
  
    
   
   
  
    
    
   
   
     
   
   
   
   
   
   
  
  
    
     
   
     
   
   
   
  
   
    
  
    
    
    
    
   
   
   
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B3. Istanbul 2004 
  
A IMAGE 
li PLANE I 
    
  
| IMAGE 
gi PLANE 
» . > 
IMAGE 
PLANE 2 
  
Figure 5. Vector projected in ground plane (left). Vector 
projected in vertical plane (right). 
The trunk tilting angles towards image planes were calculated 
from vector components a, b, and c and angles « and p. In 
future processing images are rectified to plane parallel to the 
tree trunk. 
4. ERROR ANALYSIS 
During the field measurement, rotation angels ® (x-axis), ¢ (y- 
axis) and Kk (z-axis) were determined with simple instruments, a 
hypsometer, a compass and a tube level. Influence of rotation 
errors to tree crown dimension determination was considered. 
4.1 Errorin O 
Rotation along x-axis, €, was measured with hypsometer. 
Accuracy of hypsometer rotation measurement was estimated to 
be + 1°. This estimation was based on instrument ruler index 
and field measurement experience. The error influence was 
simulated rotating image plane 1? degrees and -1 ? around 
image bottom edge and calculating shift of each pixel compared 
to the correct image. Pixel movement was two directional. 
  
Figure 6. Error surfaces. Pixel dx shift for +1° w error (up left). 
Pixel dy shift for -1? c error (up right). Pixel dx shift for -1° ® 
error (bottom left). Pixel dy shift for -1? « error (bottom right). 
The plane rotation away from the camera inflicted expanding of 
the image plane. Tendency of error behaviour is expressed in 
Figure 6. Respectively the plane rotation towards the camera 
inflicted shrinking of image plane. Maximum errors were 
calculated from surface values: 
Dxz2. Imax(dx) (8) 
Dy= |min(dy) + |max(dy) 
  
The maximum errors are illustrated in table 1. In order to 
compare values for other data sources errors were transformed 
from pixels to metric values. Scale was expressed as ratio 
distance between project centre and rectification plane (f+dc) 
and distance between projection centre and target D: 
iter bre (9) 
(f * dc) 
During the field measurement image capture distance was 
typically 25 meter, but all images were taken from less than 30 
meters. Maximum errors in meters for 30 m distance are 
calculated in Table 1. 
4.0 Errorin K 
Rotation around z-axis (K) was adjusted to zero with tube level. 
Maximum error in rotation measurement was estimated to be + 
2?. Maximum error in dimension measurement was carried out 
if distance was measured from edge to edge. For image size 
3945x2928 errors are: 
3945 — 3945 / cos(2) 
2928 — 2928 / cos(2) 
24 
zLs 
ü 
N 
Maximum errors in metric values for 30 m distance are 
calculated in Table 1. 
  
  
  
  
  
  
  
  
  
Error, m, 
Rotation Error Error, for 
Angle type pixels distance 
30 m 
Q1? Dx 62 0.48 
Q1? Dy 48 0.38 
œ=-1° Dx -62 -0.50 
w=-1° is Dy 46 -0.37 
K=2° Dx -2.4 -0.002 
K=2° Dy -1.8 0.014 
K=-2° Dx -2.4 -0.002 
K=-2° Dy -1.8 0.014 
  
  
  
  
  
  
Table 1. Maximum errors 
4.3 Errorin¢ 
Image capture direction (¢) was straight towards the tree trunk. 
After image capture ¢ was measured with compass. Error in ¢ 
measurement does not affect inner accuracy of image 
measurement. Objects, which are in rectification plane, 
perpendicular towards the imaging direction, are geometrically 
correct. Error has influence when measurements are compared 
to other data sources. Eranto, (declination between compass 
north and Finnish local co-ordinate system vertical axis) is 6° in 
Southern Finland. To improve measurement accuracy compass 
measurement were carried out by two persons and value was 
calculated as average of observations. 
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