a weighted calibration method of interferometric sar data yongfei mao maosheng xiang lideng wei...
TRANSCRIPT
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A WEIGHTED CALIBRATION METHOD OF INTERFEROMETRIC
SAR DATA
Yongfei MaoMaosheng Xiang
Lideng Wei Daojing Li
Bingchen Zhang
Institute of Electronics, Chinese Academy of Sciences, Beijing, China
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Contents
Abstract
Calibrate method based on sensitivity equations
Weighted calibrate method
Derivation of the weightings
Experimental results
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Abstract
The accuracy of DEM generated by InSAR partly
depends on the accuracy of system parameters, so it is necessary to calibrate the system parameters.
The traditional calibration method models the elevation error as a linear function of parameter biases, and solves the biases through the sensitivity equations.
This paper presents a weighted calibration method. It introduces weightings to the sensitivity equations to discriminate the ground control points with different correlation coefficients and locations
This weighted calibration method can improve the DEM accuracy.
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Calibrate method based on sensitivity equations
[ ][ ]T
h h h h hh B r H
B r H
h h h h hB r H
B r H
The elevation error can be modeled as a linear function of parameter errors.
It is a good approximation for small parameter errors.
Baseline lengthBaseline anglePhase offsetSlant rangeFlight altitude H
r
B
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Calibrate method based on sensitivity equations
All of the control points have sensitivity equations, and they can be written as
where
H = F X
1 1 1 1 11
NN N N N N
h h h h h
B r H
h h h h h
B r H
F
F
F
TB r H X
1
T
Nh h H =
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Calibrate method based on sensitivity equations
To acquire the biases of interferometric parameters , the equation below needs to be solved.
It is equal to make minimum.
The biases given below is the solution.
This calibration technique is iterative.
H = F X
X = F H
X
F X - H
2
1
min minN
n nn
h
X XF X - H F X
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Weighted calibrate method
The error of interferometric phase varies from point to point, so the sensitivity equations of each control point have different errors.
Therefore, it is reasonable to introduce different weightings to the sensitivity equations of different control points.
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Weighted calibrate method
With the weightings, solving
is equal to make minimum.
where .
Therefore, the solution is given below.
The weighted calibration technique is iterative.
22
1
2
1
min min
min
min
N
n n nn
N
n n n nn
k h
k k h
ΛX X
X
X
F X - H F X
F X
ΛF X - Λ H
1, ..., Ndiag k kΛ
X = ΛF Λ H
H = F X
ΛF X - H
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Derivation of the weightings
The error of interferometric phase due to
decorrelation can be calculated by
where is the "number of looks", is the correlation coefficient.
The elevation error due to phase errors can be calculated by
where is the sensitivity of the elevation to the interferometric phase.
2
2
11
2n
nnLN
h
2
2
11
2n
n n n nnL
h hh
N
LN n
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Derivation of the weightings
The elevation error makes a linear contribution to . To remove this linear contribution, we can design the weighting as a inverse proportion function of .
where is the constant coefficient and can be solved from the unitary equation bellow.
Then we can get the constant coefficient
nn
pk
h
1
N
nn
k N
1
1N
n n
Np
h
F X - H
nh
p
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Derivation of the weightings
The weighting of No. control point can be written as
Therefore, using weighted calibrate method the biases of interferometric parameters can be acquired from the equation bellow.
where .
1
1n N
nn n
Nk
hh
n
1, ..., Ndiag k kΛ
X = ΛF Λ H
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Experimental results
The weighted calibration method has
been applied to airborne InSAR data.
Methods RMS error (m)weighted calibration 0.9351traditional calibration 1.0834
Fig.1 SAR image Fig.2 DEM image
The elevation error of check points by
using weighted calibration method and traditional calibration method is shown below.
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THANK YOU!