Full text: Proceedings, XXth congress (Part 2)

Istanbul 2004 
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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol XXXV. Part B2. Istanbul 2004 
number of spectral bands is of major importance in image 
classification. 
2.4 Satellite sensor systems 
The commercial high resolution satellites systems are the third 
group of sensor systems which might be useful for LPIS. The 
most important ones are characterized in the following table: 
  
  
  
  
  
  
  
  
  
  
| Satellite Ground | Pan MS Rev. 
swath res. res. time 
[km] [m] [m] | [days] 
IKONOS ; ; 
(Space Imaging, 2002) H ! A ns 
QuickBird ; ar 
(DigitalGlobe, 2003) loc 4091.1 2:34 lid 3 
SPOT 5 
2 = 
(Spotimage - b) by 2.3 10 Peu 
EROS AI i 
3.55 | 18 1. — 3 
(ImageSat, 2003) 133 Ls 2-3 
  
  
Table 3. Satellite sensor systems 
IKONOS and QuickBird would fulfill the requirement of a 1- 
meter resolution (pan sharpened) and therefore have been taken 
into consideration for LPIS. SPOT 5 with a resolution of 2.5 
meter in "Supermode" (Spotimage-a, 2003) does not fulfill the 
requirements, but would have the advantage of a wide ground 
coverage. Also not qualified is the 1.8 m resolution imagery of 
EROS Al. 
3. IMAGE RECTIFICATION 
As already mentioned, images used in LPIS should be ortho- 
rectified images. The two main factors influencing the accuracy 
of the rectified images, the 
e Height information and the 
* Leaning effect 
will be discussed in the following. The influence of image 
orientation is almost similar for all image recording systems, 
thus a discussion of the orientation impact is omitted. 
3.1 Height Information 
The influence of height on the accuracy in orthophotos is basic 
knowledge covered in all textbooks of Photogrammetry. Based 
on the assumption that all, airborne or spaceborne, images are 
differentially rectified using digital elevation models the impact 
of a height error on a location in a orthoimage can be estimated 
by 
AZ 
AR = (1) (Kraus 1989) 
c/p' + tan à * cos B 
where AR = location error 
AZ = height error 
¢ = focal length 
p' = distance from the image center to location of the 
considered object location 
a = terrain slope 
B = angle between the straight line beginning in the 
image center to the considered object location 
'A 
- 
The following table (Table 4) shows position errors, calculated 
based on: 
* 10-meter height error as an example 
« ß=90° 
e image corners / edges considered 
e a ground slope of u =30° was chosen. This is the 
maximum slope agricultural machines can work on. 
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
System u Position error 
[degree] [m] 
Wide Angle Camera 0 9,15 
Wide Angle Camera - 30 19,40 
Normal Angle Camera 0 4,59 
Normal Angle Camera - 30 6,25 
IKONOS nadir 0 0,08 
IKONOS nadir - 30 0,08 
IKONOS 30? pointing 0 5,14 
IKONOS 30? pointing - 30 7.31 
SPOT nadir 0 0,37 
SPOT nadir - 30 0:37 
SPOT 27° pointing 0 5.13 
SPOT 27° pointing - 30 7,30 
HRSC - AX 0 2,62 
HRSC - AX - 30 3.08 
ADS 40 0 6,24 
ADS 40 - 30 9,75 
  
  
  
  
  
Table 4. Position errors, caused by height errors 
(for more details please refer to Oesterle 2003) 
Obviously the position error gets smaller if a system with a 
large focal length is used. Therefore it can be concluded, that 
the use of systems with a good relation of ground coverage to 
flving height will benefit the production of accurate 
orthophotos. Highly accurate height data almost climinate this 
type of error. 
3.2 Leaning Effect 
This effect is comparable to the position error, but calculated for 
flat terrain (alpha =0). The leaning effect is caused by depicting 
a 3D object on the 2D image. It can be observed at objects, 
protruding the earth's surface such as buildings and forest 
borders. The leaning effect can be avoided by producing True 
Orthophotos. However, this process requires measurements of 
the 3D objects. Furthermore it requires the use of overlapping 
image areas, in order to get information about hidden regions. 
The production of True Orthophotos covering the usually quite 
big area of a state is less recommended, as the measurement of 
3D object information is time consuming and therefore 
expensive. Airborne Laserscanning may help to reduce the costs 
of providing the data for True Orthophoto generation. 
  
Figure. 3. Building shown with leaning effect, compared to 
"True" building representation 
 
	        
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