tanbul 2004 
we errors of 
1) (9) 
2) (10) 
| point pair 
points. 
(GLE BY 
ly collected, 
red can be 
, which is 
nsformation 
o fulfill the 
launay TIN, 
| is close to 
d after the 
sions which 
' points are 
'ondition to 
method is 
adopted to 
t, then find 
of the two 
The initial 
first triangle. 
and ps, and 
sly that the 
cated at the 
also not the 
f the line; if 
0, (x’y°) is 
en obtained 
on (13), we 
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B3. Istanbul 2004 
can get the point that will be expanded, which is corresponding 
to the maximum C. 
cosC - (a! «b? -c^)/2ab (13) 
When the first edge of the triangle & has been expanded, apply 
the same method to expand the other two edges; then turn to the 
k+1 triangle until all the points have been gone through. 
  
a 
  
  
  
  
Fig. 3 Straight line judgment method 
4.2 Fulfill Registration Triangle By Triangle 
Within each triangle pair, construct the regional rectification 
model using the affine transformation, equation (14), together 
with the coordinates of the vertexes of the two triangles. Then 
fulfill the high precise registration of the two images triangle by 
triangle. 
[x =d,+ax+a,y 
; (14) 
ly = b, + b, X + b,y 
After the regional rectification model has been established, the 
key point of this rectification method is to judge which triangle 
that the point to be rectified is located in. In order to speed the 
process, we can judge if the point is located in the 
circumrectangle of the triangle. If it is true, we can further 
judge if the point is located within the triangle. 
S. EXPERIMENTS AND CONCLUSIONS 
Using the method presented by this paper, the software that 
realizes the high precise rectification and registration of multi- 
source remote sensing imagery has been developed in VC++ 
language, based on personal computer, and this software has 
been successfully used in land use and land cover change 
detection based on multi-temporal remote sensing imagery and 
dynamic land use monitoring based on TM 30m multi-spectral 
data and SPOT 10m panchromatic data. Figure 4,5 and 6 are the 
experimental results using the high precise TIN rectification 
method presented by this paper. 
IAEA lelxi 
  
uj 
MR, Fr 
Fig.4 TIN constructed on the geo-referencing image 
859 
  
  
Fig.6 The rectified result 
Experimental results and practical work show that the approach 
presented by this paper is simple and applicable without 
employing DEM, satellite ephemeris data and orientation 
information of the sensor, and it is an effective method to 
realize the high precise rectification and registration of multi- 
source remote sensing imagery. Because of the speciality of the 
radar imaging mode, the method presented by this paper is not 
applicable to radar imagery. In addition, after the control points 
have been selected by human-computer interaction, the high 
precise registration of the thematic data and the image data can 
be fulfilled by TIN rectification developed in this paper. 
REFERENCES 
Zhang Jixian, Lin Zongjian, Zhang Yonghong, et al., 2000. 
Remote Sensing  Orthophotoquad Generation without 
Employing DEM. Journal of Remote Sensing, 4(3), pp. 202-207. 
Zhang Zuxun, Zhang Jianging, 1997. Principles of Digital 
Photogrammetry. Publishing House of Wuhan Technical 
University of Surveying and Mapping, Wuhan, 
Yang Delin, 1982. Principles, Methods and Applications of 
Large-scale Digital Mapping. Publishing House of Surveying 
and Mapping, Beijing.