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BACK TO INDEX Publications of year 1990 Books and proceedings
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| Abstract: | The authors have utilized a set of Seasat synthetic aperture radar (SAR) data that were obtained in nearly repeat ground-track orbits to demonstrate the performance of spaceborne interferometric SAR (INSAR) systems. An assessment of the topography measurement capability is presented. A phase measurement error model is described and compared with the data obtained at various baseline separations and signal-to-noise ratios. Finally, the implications of these results on future spaceborne INSAR design are discussed |
@ARTICLE{liGoldstein1990:MultiBaselineInsAR,
author = {Li, Fuk K. and Goldstein, R. M.},
title = {{Studies of Multibaseline Spaceborne Interferometric Synthetic Aperture Radars}},
journal = {IEEE Transactions on Geoscience and Remote Sensing},
year = {1990},
volume = {28},
pages = {88-97},
number = {1},
month = {Jan},
abstract = {The authors have utilized a set of Seasat synthetic aperture radar (SAR) data that were obtained in nearly repeat ground-track orbits to demonstrate the performance of spaceborne interferometric SAR (INSAR) systems. An assessment of the topography measurement capability is presented. A phase measurement error model is described and compared with the data obtained at various baseline separations and signal-to-noise ratios. Finally, the implications of these results on future spaceborne INSAR design are discussed},
doi = {10.1109/36.45749},
issn = {0196-2892},
keywords = {SAR Processing, SAR Interferometry, Interferometry, InSAR, Multi-Baseline SAR, SAR Tomography, geophysical techniques, radar applications, radar measurement, radiowave interferometry, remote sensing, topography (Earth)INSAR design, Seasat, baseline separations, geophysical technique, multibaseline spaceborne interferometric synthetic aperture radars, performance, phase measurement error model, remote sensing, signal-to-noise ratios, topography measurement capability},
owner = {ofrey},
pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/liGoldstein1990.pdf},
url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=45749&isnumber=1726}
}
Keywords: SAR Processing, Autofocus, Motion Compensation, MoComp, Residual Motion Errors, Airborne SAR, ESAR.
| Abstract: | Presented is a new solution for real-time motion compensation. The main idea is to extract all the necessary motions of the aircraft from the radar backscatter signal using a new radar configuration and new methods for evaluating the azimuth spectra of the radar signal. Hence an inertial navigation system becomes unnecessary for many applications. The motion compensation parameters for realtime motion error correction are the range delay, the range dependent phaseshift, and the pulse repetition frequency. The motions of the aircraft to be extracted are the displacement in line-of-sight (LOS) direction, the aircraft\u2019s yaw and drift angle, and the forward velocity. Results show that a three-look image with an azimuth resolution of 3 m in L-band using a small aircraft is achievable, and the implementation of this method in real time using an array processor is feasible. |
@ARTICLE{moreiraJoao1990:MoComp,
author = {Moreira, Jo{\~a}o},
title = {A New Method Of Aircraft Motion Error Extraction From Radar Raw Data For Real Time Motion Compensation},
journal = {IEEE Transactions on Geoscience and Remote Sensing},
year = {1990},
volume = {28},
pages = {620--626},
number = {4},
month = {jul},
abstract = {Presented is a new solution for real-time motion compensation. The main idea is to extract all the necessary motions of the aircraft from the radar backscatter signal using a new radar configuration and new methods for evaluating the azimuth spectra of the radar signal. Hence an inertial navigation system becomes unnecessary for many applications. The motion compensation parameters for realtime motion error correction are the range delay, the range dependent phaseshift, and the pulse repetition frequency. The motions of the aircraft to be extracted are the displacement in line-of-sight (LOS) direction, the aircraft\u2019s yaw and drift angle, and the forward velocity. Results show that a three-look image with an azimuth resolution of 3 m in L-band using a small aircraft is achievable, and the implementation of this method in real time using an array processor is feasible.},
doi = {10.1109/TGRS.1990.572967},
issn = {0196-2892},
keywords = {SAR Processing, Autofocus, Motion Compensation, MoComp, Residual Motion Errors, Airborne SAR, ESAR},
owner = {ofrey},
pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/moreiraJoao1990.pdf},
url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=572967&isnumber=2143}
}
Keywords: SAR Processing, Wavenumber Domain Algorithm, omega-k, Range Migration Algorithm, Interferometry.
| Abstract: | Conventional techniques for Synthetic Aperture Radar (SAR) image focusing use the matched filter concept and convolve the data with a reference phase signal which changes with range. The resulting algorithm is space-variant and its frequency-domain implementation is cumbersome. SAR data, however, can be focused using migration techniques identical to those used in seismic signal processing for oil prospecting. The implications of the higher precision achieved with migration as regards the phases of the synthesized radar returns is discussed. Two interferometrical applications where the phases of the returns are essential for the recovery of interesting parameters of the observed scene are presented: the determination from a satellite of the altitude map of the terrain and the determination from an airplane of the attitude of the sensor. In both cases the precision achieved is satisfactory. |
@ARTICLE{pratiRoccaMontiDamonti90:Migration,
author = {Claudio Prati and Fabio Rocca and Andrea Monti-Guarnieri and Elvio Damonti},
title = {{Seismic Migration For Sar Focusing: Interferometrical Applications}},
journal = {IEEE Transactions on Geoscience and Remote Sensing},
year = {1990},
volume = {28},
pages = {627-640},
number = {4},
month = Jul,
abstract = {Conventional techniques for Synthetic Aperture Radar (SAR) image focusing use the matched filter concept and convolve the data with a reference phase signal which changes with range. The resulting algorithm is space-variant and its frequency-domain implementation is cumbersome. SAR data, however, can be focused using migration techniques identical to those used in seismic signal processing for oil prospecting. The implications of the higher precision achieved with migration as regards the phases of the synthesized radar returns is discussed. Two interferometrical applications where the phases of the returns are essential for the recovery of interesting parameters of the observed scene are presented: the determination from a satellite of the altitude map of the terrain and the determination from an airplane of the attitude of the sensor. In both cases the precision achieved is satisfactory.},
keywords = {SAR Processing, Wavenumber Domain Algorithm, omega-k, Range Migration Algorithm, Interferometry},
pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/pratiRoccaMontiDamonti90.pdf},
url = {http://ieeexplore.ieee.org/iel1/36/2143/00572968.pdf}
}
Keywords: SAR Processing, MUSIC, SAR Tomography, parameter estimation, signal detection, signal processing, statistical analysisCramer-Rao bound, covariance matrix, direction-of-arrival, maximum likelihood estimator, multiple signal characterization, narrowband plane waves, noisy measurements, parameter estimation, performance comparisons, statistical performance, superimposed signals, uniform linear sensor arrays, unweighted MUSIC estimator, weighted MUSIC estimators.
| Abstract: | The problem of determining the direction-of-arrival of narrowband plane waves using sensor arrays and the related problem of estimating the parameters of superimposed signals from noisy measurements are studied. A number of results have been recently presented by the authors on the statistical performance of the multiple signal characterization (MUSIC) and the maximum likelihood (ML) estimators for the above problems. This work extends those results in several directions. First, it establishes that in the class of weighted MUSIC estimators, the unweighted MUSIC achieves the best performance (i.e. the minimum variance of estimation errors), in large samples. Next, it derives the covariance matrix of the ML estimator and presents detailed analytic studies of the statistical efficiency of MUSIC and ML estimators. These studies include performance comparisons of MUSIC and MLE with each other, as well as with the ultimate performance corresponding to the Cramer-Rao bound. Finally, some numerical examples are given which provide a more quantitative study of performance for the problem of finding two directions with uniform linear sensor arrays |
@ARTICLE{stoicaNehorai1990:MUSIC,
author = {Stoica, Petre and Nehorai, A.},
title = {{MUSIC}, maximum likelihood, and Cramer-Rao bound: further results and comparisons},
journal = {IEEE Transactions on Acoustics, Speech and Signal Processing},
year = {1990},
volume = {38},
pages = {2140-2150},
number = {12},
month = {Dec},
abstract = {The problem of determining the direction-of-arrival of narrowband plane waves using sensor arrays and the related problem of estimating the parameters of superimposed signals from noisy measurements are studied. A number of results have been recently presented by the authors on the statistical performance of the multiple signal characterization (MUSIC) and the maximum likelihood (ML) estimators for the above problems. This work extends those results in several directions. First, it establishes that in the class of weighted MUSIC estimators, the unweighted MUSIC achieves the best performance (i.e. the minimum variance of estimation errors), in large samples. Next, it derives the covariance matrix of the ML estimator and presents detailed analytic studies of the statistical efficiency of MUSIC and ML estimators. These studies include performance comparisons of MUSIC and MLE with each other, as well as with the ultimate performance corresponding to the Cramer-Rao bound. Finally, some numerical examples are given which provide a more quantitative study of performance for the problem of finding two directions with uniform linear sensor arrays},
doi = {10.1109/29.61541},
issn = {0096-3518},
keywords = {SAR Processing, MUSIC, SAR Tomography, parameter estimation, signal detection, signal processing, statistical analysisCramer-Rao bound, covariance matrix, direction-of-arrival, maximum likelihood estimator, multiple signal characterization, narrowband plane waves, noisy measurements, parameter estimation, performance comparisons, statistical performance, superimposed signals, uniform linear sensor arrays, unweighted MUSIC estimator, weighted MUSIC estimators},
owner = {ofrey},
pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/stoicaNehorai1990.pdf},
url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=61541&isnumber=2238}
}
Conference articles
-
Terry M. Calloway,
Paul H. Eichel,
and Charles V. Jakowatz.
Iterative registration of SAR imagery.
In Andrew G. Tescher, editor,
,
volume 1349,
pages 412-420,
1990.
SPIE.
Keywords: SAR Processing, Image Registration, Basic Geocoding, Iterative Image Registration.@conference{callowayEichelJakowatzIterativeRegistration1990, author = {Terry M. Calloway and Paul H. Eichel and Charles V. Jakowatz, Jr.}, editor = {Andrew G. Tescher}, collaboration = {}, title = {Iterative registration of SAR imagery}, publisher = {SPIE}, year = {1990}, journal = {Applications of Digital Image Processing XIII}, volume = {1349}, number = {1}, pages = {412-420}, location = {San Diego, CA, USA}, url = {http://link.aip.org/link/?PSI/1349/412/1}, doi = {10.1117/12.23557}, keywords = {SAR Processing, Image Registration, Basic Geocoding, Iterative Image Registration}, pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/callowayEichelJakowatzIterativeRegistration1990.pdf}, owner = {ofrey}, } -
Daniel E. Wahl,
Paul H. Eichel,
and Charles V. Jakowatz.
Implementation of the phase-gradient algorithm.
In Franklin T. Luk, editor,
,
volume 1348,
pages 528-535,
1990.
SPIE.
Keywords: SAR Processing, Autofocus, Phase Gradient Algorithm, PGA.@conference{wahlEichelJakowatzPGAImplementation1990, author = {Daniel E. Wahl and Paul H. Eichel and Charles V. Jakowatz, Jr.}, editor = {Franklin T. Luk}, collaboration = {}, title = {Implementation of the phase-gradient algorithm}, publisher = {SPIE}, year = {1990}, journal = {Advanced Signal Processing Algorithms, Architectures, and Implementations}, volume = {1348}, number = {1}, pages = {528-535}, location = {San Diego, CA, USA}, url = {http://link.aip.org/link/?PSI/1348/528/1}, keywords = {SAR Processing, Autofocus, Phase Gradient Algorithm, PGA}, pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/wahlEichelJakowatzPGAImplementation1990.pdf}, doi = {10.1117/12.23506}, owner = {ofrey}, }
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This collection of SAR literature is far from being complete.
It is rather a collection of papers which I store in my literature data base. Hence, the list of publications under PUBLICATIONS OF AUTHOR'S NAME
should NOT be mistaken for a complete bibliography of that author.
Last modified: Wed Sep 8 19:32:46 2010
Author: Othmar Frey , Remote Sensing Laboratories (RSL), University of Zurich, Switzerland .
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