Full text: XVIIIth Congress (Part B3)

   
   
  
  
  
  
   
   
      
  
   
  
    
    
    
      
    
   
  
  
  
   
  
  
  
  
    
    
  
   
  
  
  
  
  
  
  
   
  
  
   
   
    
This correction mechanism described here is applied to 
many images from the KITSAT-1. In most cases, the 
mechanism finds successfully the geometric model 
parameters with less than 0.01 pixel accuracy after about 
more than 10000 iterations to converge them. This result 
shows. much better performance comparing with simple 
linear polynomial GCP mapping. 
6. Conclusions 
The CEIE in the KITSAT-1 microsatellite demonstrates 
many possibilities in the observation of the Earth surface 
with a very low cost satellite platform and imager. Images 
from the CEIE can be very valuable even if they are not 
comparable to scenes from existing commercial satellites. 
They show some hardware abnormalities but produce lots 
of images with reasonable qualities and low cloud 
coverage, which can be used for further processing and 
analysis 
Preprocessing is very necessary to use an image for 
various applications. In this paper, the geometric 
distortions in the KITSAT-1 images were analyzed and a 
correction mechanism to remove them is developed. The 
developed procedure shows reasonable performance in 
correcting image from  micro-satellites such as the 
KITSAT-1 images. It can be also a basis for developing 
geometric correction algorithms for images from other 
remote sensing satellites which have large amount of 
pointing error or do not give sufficient accurate attitude 
information. 
Figure 8. The preprocessed image projected to TM coordinates 
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B3. Vienna 1996 
Reference 
Barrett E.C. and Curtis L.F., 1982, Introduction to 
Environmental Remote Sensing 2nd Ed., Chapman and 
Hall Ltd. 
Curran, P.J., 1985, Principles of Remote Sensing, John 
Wiley & Sons Inc. 
Hughes P.C., Spacecraft Attitude Dynamics, John Wiley 
& Sons 
Kim, S.H., Sung, D.K. and Choi, S.D., 1992, A Korean 
Experimental Microsatellite - KITSAT-1 System, AP- 
MCST 
Lee, I., Sung, D. K. and Choi, S.D., 1993, Multimission 
Experimental Microsatellites - KITSAT Series, the 7th 
Annual AIAA/USU Conference on Small Satellites 
Mather, P.M., 1987, Computer Processing of Remote 
Sensed Images (An Introduction), John Wiley & Sons 
Muller, J.P., 1988, Digital Image Processing in Remote 
Sensing, Taylor & Francis Inc. 
SPOT Image, 1988, SPOT User's Handbook - Volume 1 
Reference Manual, CNES and SPOT Image 
Ward, J., 1991, The UO-22 Earth Imaging System, The 
AMSAT Journal, Vol.14, No.6, pp. 1-7 
Yoo S.K., 1992, Earth Imaging System - Camera Head, 
SaTReC Internal Document, Vol. 6A-CAM 
434 
KEY M 
ABSTF 
The im 
of inten 
are tha 
the rela 
structui 
The rol 
range c 
automa 
object-l 
been in 
scenes, 
encouni 
ings. In 
of the a 
though 
detectic 
cluding 
& Wats 
Binford 
ory cou 
be appl 
The rel. 
method 
not at 
ative m 
the chc 
be more 
user th: 
structui 
based o 
1996). 
devoted 
1981; F 
mentati 
alick & 
textboa 
& Brow 
mentati 
(Fu & ! 
ture thr 
edge fin 
ically, o 
Basicly 
and (2) 
the har
	        
Waiting...

Note to user

Dear user,

In response to current developments in the web technology used by the Goobi viewer, the software no longer supports your browser.

Please use one of the following browsers to display this page correctly.

Thank you.