The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part В 7. Beijing 2008
Where, |^| is the coherence level; Sj(/, y) , S 2 (i,j) are
echo signal of master and slave image; * is the conjugate of a
complex; M X TV is the window size during the coherence
estimation.
The interferogram phase can be computed by
y/ = arctg(s x Vs*) (2)
4. CASE STUDY
4.1 Data sets
Shanghai city, located in the east of china is selected as our
experimental district. The SAR images and its location which
are used to generate the interferogram covering Shanghai is
showed in the Fig. 1, Tab. 1, and Tab. 2.
Figure 1. The SAR image of Shanghai test site imaged on Jun, 6
1992
Mission Northwest Northeast Southwest Southeast
Longitude 31° 19' 31°17' ЗГ06' 31°09'
Latitude 121 °23' 121 °36' 121 °33' 121 °21'
Table. 1 The Geographic coordinates of SAR test area
Mission
Master
Slave
Д T
(d)
B1
(m)
Spectral
overlap
ERS-1
19920606
19920919
105
-109.47
Range : 89.84%
Azimuth:
95.96%
Table. 2 The basic parameters of the SAR interferometric pairs
of Frame 2979
4.2 Comparison of several adaptive filtering methods
Filtering methods based on statistical model are the most of
generally used methods in the image processing due to its
obvious advantage of reduction of the standard derivation. And
it proves that this series of filter not only filter the noise
preferably but also preserve the edge for the better.
In our test algorithms such as Enhanced Lee, Enhanced Frost,
Gamma Map, and Kuan filtering are used to remove the noise of
the master and slave SAR images. To evaluate the efficiency of
those methods, we select five criterions including SD (Standard
Deviation), SI (Smoothness Index), SNI (Speckle Noise Index),
ENL (Equivalent Number of Looks), and NM (Normalized
Mean), seen in Tab. 3. For a quasi-homogeneous scene, SNI is
an index which reflects the intension of speckle. The large SNI
value means the high speckle noise level. In addition, the larger
the SI and ENL, the stronger smoothness ability of the filtering
algorithms is. The NM is more close to 1, the unbiased
estimator is more approached.
By comprehensively considering the above assessment indexes,
the Gamma Map filtering is verified the optimal filtering due to
its highest ENL and SI, and smallest SD and SNI. The next step
is to generate the coherence and interferogram using the
unfiltered pair and filtered one, respectively.
Master
19920606
Original
Enhanced Lee
Enhanced
Frost
Gamma
Map
Kuan
SD
1547.7262
826.0680
793.7859
776.5155
1044.2183
SI
1.3487
2.5189
2.6123
2.6900
1.9990
SNI
0.7145
0.3970
0.3828
0.3718
0.5003
ENL
1.8169
6.3449
6.8241
7.2361
3.9960
NM
1.0000
0.9968
0.9934
1.0007
1.0000
Table. 3 Comparison of Four kinds of filtering algorithms
4.3 Interferometric data processing
The main steps in our interferometric test include coregistration,
removal of the flat earth phase, generation of interferogram and
coherence, filtering of the interferogram.
To reduce errors during the process of co-registration and flat
earth phase removal, we used the precise ERS orbit data from
Delft University of Technology. Consequently, we need execute
general coarse to fine coregistration between the master and
slave images. The final fine coregistration errors of unfiltered
and filtered pairs are both controlled in the range of 0.05 pixels
along the range direction and 0.08 pixels along the azimuth
direction. In order to compare the interferometric results under
the same condition, we adopted the same window size during
the estimation of coherence. To suppress noise, the SAR images
are processed by a multi-look operation of 5 pixels along the
azimuth direction to obtain a final resolution of 20><20m, and
filter the interferogram with Gaussian filtering.
The interferogram and coherence are showed in Fig. 2, Fig. 3,
Fig. 4, Fig.5, respectively