Radar Interferometry

Persistent Scatterer Technique

By: Bert M. Kampes

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Hardcover | 4 August 2006

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This volume is devoted to the Persistent Scatterer Technique, the latest development in radar interferometric data processing. It is the only book on

Permanent Scatterer (PS) technique of radar interferometry, and it details a newly developed stochastic model and estimator algorithm to cope with possible problems for the application of the PS technique. The STUN (spatio-temporal unwrapping network) algorithm, developed to cope with these issues in a robust way, is presented and applied to two test sites.

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Preface	p. xi
Audience	p. xii
Acknowledgments	p. xiii
Summary	p. xv
Introduction	p. 1
Objectives	p. 2
Outline	p. 3
The Permanent Scatterer Technique	p. 5
The reference PS technique	p. 5
Interferogram formation	p. 6
Differential interferogram formation	p. 7
Preliminary estimation	p. 9
Final estimation	p. 14
Potential improvements	p. 15
Functional model	p. 17
Stochastic model	p. 25
The Integer Least-Squares Estimator	p. 31
The LAMBDA method	p. 31
Application of the LAMBDA method	p. 33
Computational aspects	p. 36
The bootstrap estimator	p. 36
Reduction of the numerical complexity	p. 37
Choice of the base functions	p. 38
Validation	p. 39
The STUN Algorithm	p. 43
Three dimensional phase unwrapping	p. 45
Pixel selection	p. 47
Variance component estimation	p. 54
Reference network computation	p. 55
Construction of the reference network	p. 56
Spatial integration of estimated difference parameters	p. 57
Identification of incorrect estimates and incoherent points	p. 58
Estimation of points relative to the reference network	p. 64
Final estimation	p. 66
Synthetic Data Experiments	p. 71
Simulation scenarios	p. 71
Random noise	p. 72
Atmospheric phase	p. 75
DEM error and displacement signal	p. 80
Estimation using the correct base functions	p. 81
Estimation using a linear displacement model	p. 84
Conclusions	p. 85
Real Data Processing	p. 87
Berlin	p. 88
Data availability	p. 89
Reference processing	p. 90
Sensitivity to algorithm settings	p. 98
Cross-comparison between adjacent tracks	p. 110
Las Vegas	p. 119
Data availability	p. 120
Estimation of linear displacement	p. 122
Comparison with the reference PS technique	p. 130
Estimation of linear and seasonal displacement	p. 135
ERS-ENVISAT cross interferometry	p. 144
Conclusions	p. 146
Conclusions and Recommendations	p. 149
Conclusions	p. 149
Recommendations	p. 151
Addenda	p. 155
Variance Component Estimation	p. 157
The quadratic form of normally distributed observables	p. 157
Proof of the variance component estimation formula	p. 159
Alternative Hypothesis Testing	p. 163
The Delft method of testing	p. 163
Selecting the testing parameters	p. 166
Used SAR Data	p. 171
Developed Software	p. 177
Computer environment at the DLR	p. 177
Passing information to programs	p. 178
Logging	p. 178
Generic file format	p. 179
Archiving	p. 179
Implementation	p. 180
Specifics of the software	p. 180
File formats	p. 181
Parallelization	p. 181
Synopsis of the modules	p. 182
Software on the CDROM	p. 185
Introduction	p. 185
Installation	p. 187
How to begin	p. 188
References	p. 189
About the Author	p. 199
Nomenclature	p. 201
Index	p. 207
Table of Contents provided by Ingram. All Rights Reserved.

Radar Interferometry

Persistent Scatterer Technique

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