In: Wagner W., Székely, B. (eds.): ISPRS TC VII Symposium - 100 Years ISPRS, Vienna, Austria, July 5-7, 2010, IAPRS, Vol. XXXVIII, Part 7B
cos^cos v(Y-Jfo) + sinK(Y-Ys) - sin (p cos k(Z-Zs) ^
sin cp( X - Xs) + (Z- Zs) cos <p
y = [J(X-Xs) 2 +(Y- Ys) 2 + (Z -Zs) 2 -R,)pJM y
(16)
( Where b ^ y + , Rj is the slant range of the object
point, j is the column coordinate//is geodetic altitude)
According to the least squares method, the coordinate (X\ Y
Z) of the ground point can be solved iteratively.
Similarly, the range-coplanarity equation of explicit function
of coordinates of image point in the geocentric coordinate
system can also be obtained.
It is concluded from the above equation that the mature
method based on the collinearity equation model of optical
images can be easily applied in the processing of
photogrammetric data of SAR images.
4.3 Refinement of Orientation parameters [4]
The range-coplanarity equation of formula (16) is linearized,
therefore the error equation can be obtained:
f V x ~ f\Xs d Xs f\Ys d Ys f\Zs d Zs + f\K d K + f\q, d (p ~ h ^Q)
\ V y ~ f2Xs d Xs + flYs d Ys + flZs d Zs + fl K d K + flip^cp ~h
4. THE CORRECTION AND GEOCODING OF RADAR
IMAGERY
4.1 The preprocessing of attitude angles
The cp-K-co system is adopted in the R-Cp model this paper,
while generally oxp-K system is adopted in the original attitude
measurements. Before three values of attitude angles in oxp-K
system are used, they should be converted into the values in cp-
K-co system.
Since different attitude systems have the same translation
matrix, that is:
Where /. represents linear coefficient and /. represents
constant.
Correction model of observation data of exterior orientation
elements expressed by low order polynomial of time parameter
t:
| d Pi = b m + V + b i2* 2 ( d Pi = dXs > dYs > dZs ) (21)
da i = c m + c n { + C i2^ 2 ( da i = d( P. dk)
R(co,cp,K)=R(cp,K,co)
(17)
Set R(co,(p,K)=[<3,y], (y=0,l,2) , and is matrix element
which is obtained from formula(l).
Thus, cp,K,co value of cp-K-co system can be calculated by a*j.
(p = -arctan(a 30 / a 00 )
j k = -arcsin(<z 10 )
cy = arctan(a 12 /a u )
(18)
In order to overcome the singularity of normal equation and
satisfy adjustment with sparse control points, combined
adjustment error equations can be formed using EO observing
data along with virtual observing values of R-Cp:
y y = B Rb b
~l r -
- p y
K = B a b+
B Cc c — L c ...
p x
(22)
<5
Ctf
II
-k
-P b
K =
E c c-L c
■Pc
4.2 Calculation of coordinates of ground point using image
point
The coordinates of ground point can be obtained using the
corresponding coordinates of the image point in combination
with distance condition, coplanarity condition and earth
ellipsoid equation. The coordinate (X Y Z) can be acquired
by the following three equations:
'r. {X-Xsf + iY-Ysf + tZ-Zsf , A
F '= W 1 = 0 09)
< F 2 = i x (X - Xs) + iy(Y - Ys) + J Z (Z - Zs) = 0
Fj= £l±Ii + _zl__i =0
3 (a + H) 2 (b + H) 2
Where V y , V b , V c are corrections of range equation,
coplanarity equation, polynomial model parameters of EO lines
and attitudes, respectively; b,c are polynomial coefficients for
exterior orientation model.
The above formula can be incorporated as:
V=BX-L P (23)
The solutions of orientations are:
X=(B T PB) T (B T PL)
(24)
5. EXPERIMENT
The experimental material was an ALOS/PALSAR image
(70Kmx60Km, with pixel resolution of 3.189m in velocity
direction and 9.368m in range direction), covering the
mountainous areas in Shanxi province in the west of China.