Full text: Technical Commission III (B3)

   
  
     
  
  
  
  
   
  
  
  
  
   
  
  
   
  
  
   
  
  
   
  
  
  
   
   
    
   
   
  
   
   
   
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
    
  
     
XXXIX-B3, 2012 
  
e 
ler the multi-constraint 
NS 
lifficult problem in the 
analyzes the technical 
nts the line matching 
raph matrix constraint 
is of existing methods. 
n the cities, this paper 
« to constraint the line 
hed, it computes the 
ymologous points in the 
ely avoids the large 
mograph matrix for the 
; in the image coverage 
tegrates the multiple 
. line matching, and 
ofline matching. The 
ing result depending on 
the homologous points, 
parse. It needs to carry 
opting comprehensive 
nditions. 
ENTS 
he “National Scientific 
1101452)”, the “Open 
e Key Laboratory of 
Mapping and Remote 
  
Sensing of Wuhan University (No. 11102)”, and the “Research 
Fund for the Doctoral Program of Higher Education of China 
(No. 201 12121120003)”. 
REFERENCES 
Mosaddegh S., 2008. Line Matching Across Catadioptric 
Images. http://gradvibot.u- 
bourgogne. fr/thesis 1/Saleh%20Mosaddegh.pdf. 
Fu D, Wang C., Xu Y., Zhou J, Yu QF. 2008, A new 
algorithm of matching line segments. Journal of National 
University of Defense Technology, 30(1), pp. 115~119. 
Li T., Liu X.L., 2008. A robust approach for extracting and 
matching straight line. Computer Simulation, 25(9), pp. 171— 
173. 
Wu F.C., Hu Z.y., 2002. Linear determination of the infinite 
homography and camera self-calibration. Acta automatica 
sinica, 28(9), 488—496. 
Lou AY. 2010. Line extraction, matching and three- 
dimensional reconstruction in satellite images. Liao Ning 
Technical University, Fuxin, China, pp. 13~14. 
Wu B., 2012. Integrated point and edge matching on poor 
textural images constrained by self-adaptive triangulations. 
ISPRS Journal of Photogrammetry and Remote Sensing, 68, 
pp. 40 - 55. 
Wang J.Q., Li Q., 2008. Research on SAR image registration 
based on homograph matrix. Journal of china acadewy of 
electronics and information technology, 6(12), pp. 657—660. 
Duda, R. O., Hart P. E., 1972. Use of the hough transformation 
to detect lines and curves in pictures. Comm. ACM, Vol. 15, 
pp. 11-15. 
Collins R. T., 1995. A space-sweep approach to true multi- 
image matching. Proc. Conference on Computer Vision and 
Pattern Recognition, San Francisco, 18-20 June, pp. 358-363. 
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B3, 2012 
XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia
	        
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