. Istanbul 2004
05
uth shift
0.5
uth shift
> shifts computed
€) & (d) Orgeval
order of the test
s (wheat, corn,
"site where the
ed land is rare
The villages on
ilar shape. The
aphic Mapping,
re than 70% of
ustang test site,
nterval between
2 (d)) computed
of the samples
ergetic relief of
ration using the
siven in TABLE
g. 1 (a) and (b)
ge and azimuth.
range direction,
d we decide to
lobale shifts.
GER SHIFTS
-PIXELIC ONES
Mustang
-4
3
-0.9
-0.9
ion algorithm is
d after the sub-
new sub-pixelic
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B3. Istanbul 2004
(a)
a,
)
4
r
(c)
(d)
Fig. 2. SLC ERS interferometric pair tandem of (a) Orgeval and (b) Mustang and their corresponding coherence image (c) and ((d). The coherence maps
were computed with the ISAR software.
registration approach increase the number of coherent pixels and
then the number of exploitable pixels for interferogram unwrapping.
Elevation error estimation could be a good test for the validation of
the developed algorithm. As we don't have some reference points on
the test sites we couldn't achieve this test.
V. CONCLUSION
In this paper we developed a new approach, based on two steps, for
the registration of an InSAR pair images with a sub-pixelic precision
performed in the Fourier domain, using the Fast Fourier Transform
(FFT).
First, using the ISAR software, we perform an integer co-
registration (coarse) of the interferometric pair. Than, we look for
the sub-pixelic translation factors that maximises the cross-correlation
between both images on a window dimensions of 2x2 pixels using an
iterative process. However, in order to reduce the complexity given
by the convolution in the spatial domain, we consider the transform
model in the Fourier domain.
This will be possible in the Fourier domain, since a shift in the
spatial domain is achieved by a multiplication with an exponential
factor (which is the real shift less than one pixel) in the frequency
domain. The new algorithm was tested on two different kinds of
interferometric pairs with different coherence map. In the case of
coherente pair the algorithm gives satisfactory results. However, the
local computed offsets are not reliable when the InSAR images
contain decorrelated zones, shadow zones or layover.
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