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Publications of year 1985

Articles in journal or book chapters

  1. B. C. Barber. Theory of Digital Imaging from Orbital Synthetic-Aperture Radar. International Journal of Remote Sensing, 6(7):1009-1057, 1985. Keyword(s): SAR Processing, Range Migration, Range Compression, Range Polynomial, Azimuth Processing, Upsampling, 2D Filter, Time-Domain Correlation, Satellite SAR.
    Abstract: Digital synthetic-aperture radar (SAR) imaging techniques have previously only been reported in the literature in a fragmentary manner. This article presents a comprehensive review of the theory of digital SAR imaging from Earth-orbiting satellites. The digital SAR imaging process is explained, including a discussion of various aspects which are specific to satellite-borne SAR. A number of relevant digital-processing techniques are reviewed and it is shown how these techniques may be applied to the processing of digital SAR data. The range migration problem is discussed and various techniques for overcoming it are presented. The paper should be useful not only to the designer of SAR processors, but also to the user of digital SAR data and images.

    @Article{barber85:SAR,
    Title = {{Theory of Digital Imaging from Orbital Synthetic-Aperture Radar}},
    Author = {B. C. Barber},
    Number = {7},
    Pages = {1009-1057},
    Volume = {6},
    Year = {1985},
    Abstract = {Digital synthetic-aperture radar (SAR) imaging techniques have previously only been reported in the literature in a fragmentary manner. This article presents a comprehensive review of the theory of digital SAR imaging from Earth-orbiting satellites. The digital SAR imaging process is explained, including a discussion of various aspects which are specific to satellite-borne SAR. A number of relevant digital-processing techniques are reviewed and it is shown how these techniques may be applied to the processing of digital SAR data. The range migration problem is discussed and various techniques for overcoming it are presented. The paper should be useful not only to the designer of SAR processors, but also to the user of digital SAR data and images.},
    Comment = {Comprehensive overview},
    Journal = {International Journal of Remote Sensing},
    Keywords = {SAR Processing, Range Migration, Range Compression, Range Polynomial, Azimuth Processing, Upsampling, 2D Filter, Time-Domain Correlation, Satellite SAR},
    Pdf = {../../../docs/barber85.pdf} 
    }
    


  2. John C. Curlander, Benjamin Holt, and Kevin J. Hussey. Determination of sea ice motion using digital SAR imagery. Oceanic Engineering, IEEE Journal of, 10(4):358-367, 1985. Keyword(s): SAR Processing, Image analysis, motion, Image motion analysis, Sea ice, Sea surface electromagnetic scattering, Synthetic-aperture radar.
    Abstract: Using digital SEASAT synthetic aperture radar (SAR) imagery, high-precision densely sampled maps of ice motion have been derived by tracking ice features to determine the small-scale spatial variability of ice deformation. The digital SAR imagery was processed to remove geometric distortions and located on the Earth to an accuracy of about 100 m utilizing an algorithm based on the spacecraft orbital data and the characteristics of the SAR data collection system, independent of attitude information or ground reference points. Radiometric enhancement of the imagery using a variable linear stretch algorithm was performed to remove a system-related gradient and improve the identification of sea ice features. Using ice features common to an overlapping pair of images, vector plots of ice motion were then produced. Examples of ice motion are shown in the marginal ice zone and in the central ice pack where mean displacements of 15.3 km/day and 5.0 km/day were measured, respectively. Considering errors in Earth location with those in feature identification an overall error of 150-200 m in displacement measurements was estimated. The ice motion vector plots indicate a high degree of spatial deformation, demonstrating the potential value of spaceborne SAR data for production of precision large-scale maps of ice displacement with a spatial resolution of ice deformation on scales much less than 100 km.

    @Article{curlanderHoltHussey85:SeaIce,
    Title = {Determination of sea ice motion using digital SAR imagery},
    Author = {John C. Curlander and Benjamin Holt and Kevin J. Hussey},
    Number = {4},
    Pages = {358--367},
    Url = {http://ieeexplore.ieee.org/iel6/48/25744/01145134.pdf},
    Volume = {10},
    Year = {1985},
    Abstract = {Using digital SEASAT synthetic aperture radar (SAR) imagery, high-precision densely sampled maps of ice motion have been derived by tracking ice features to determine the small-scale spatial variability of ice deformation. The digital SAR imagery was processed to remove geometric distortions and located on the Earth to an accuracy of about 100 m utilizing an algorithm based on the spacecraft orbital data and the characteristics of the SAR data collection system, independent of attitude information or ground reference points. Radiometric enhancement of the imagery using a variable linear stretch algorithm was performed to remove a system-related gradient and improve the identification of sea ice features. Using ice features common to an overlapping pair of images, vector plots of ice motion were then produced. Examples of ice motion are shown in the marginal ice zone and in the central ice pack where mean displacements of 15.3 km/day and 5.0 km/day were measured, respectively. Considering errors in Earth location with those in feature identification an overall error of 150-200 m in displacement measurements was estimated. The ice motion vector plots indicate a high degree of spatial deformation, demonstrating the potential value of spaceborne SAR data for production of precision large-scale maps of ice displacement with a spatial resolution of ice deformation on scales much less than 100 km.},
    Journal = {Oceanic Engineering, IEEE Journal of},
    Keywords = {SAR Processing, Image analysis, motion, Image motion analysis, Sea ice, Sea surface electromagnetic scattering, Synthetic-aperture radar},
    Owner = {ofrey},
    Pdf = {../../../docs/curlanderHoltHussey85.pdf},
    Timestamp = {2006.03.24} 
    }
    


  3. Fuk-Kwok Li, Daniel N. Held, John C. Curlander, and Chialin Wu. Doppler Parameter Estimation for Spaceborne Synthetic-Aperture Radars. IEEE Transactions on Geoscience and Remote Sensing, 23(1):47-56, 1985. Keyword(s): SAR Processing, Doppler Centroid, Doppler Centroid Estimation, Doppler Ambiguity Resolver, DAR, Clutterlock, Satellite SAR, SEASAT, Doppler Rate Estimation, Autofocus.
    Abstract: Problems in the determination of Doppler parameters for spaceborne synthetic-aperture radar (SAR) data processing are examined. The degradations in image quality due to errors in these parameters are summarized. We show that these parameters can be estimated using accurate spacecraft ancillary data. In cases where such data are not available, we propose two techniques to estimate these parameters using the coherent radar return. These techniques were tested with the Seasat SAR data and the test results demonstrate that the accuracies achieved exceed the system performance requirements. Possible applications of these techniques in other areas of SAR data utilization are briefly discussed.

    @Article{li85:DopCentrEst,
    Title = {{Doppler Parameter Estimation for Spaceborne Synthetic-Aperture Radars}},
    Author = {Fuk-Kwok Li and Daniel N. Held and John C. Curlander and Chialin Wu},
    Number = {1},
    Pages = {47-56},
    Volume = {23},
    Year = {1985},
    Abstract = {Problems in the determination of Doppler parameters for spaceborne synthetic-aperture radar (SAR) data processing are examined. The degradations in image quality due to errors in these parameters are summarized. We show that these parameters can be estimated using accurate spacecraft ancillary data. In cases where such data are not available, we propose two techniques to estimate these parameters using the coherent radar return. These techniques were tested with the Seasat SAR data and the test results demonstrate that the accuracies achieved exceed the system performance requirements. Possible applications of these techniques in other areas of SAR data utilization are briefly discussed.},
    Journal = {IEEE Transactions on Geoscience and Remote Sensing},
    Keywords = {SAR Processing, Doppler Centroid, Doppler Centroid Estimation, Doppler Ambiguity Resolver, DAR, Clutterlock, Satellite SAR, SEASAT, Doppler Rate Estimation, Autofocus},
    Pdf = {../../../docs/li85.pdf} 
    }
    


  4. Hans J. Liebe. An updated model for millimeter wave propagation in moist air. Radio Science, 20(5):1069-1089, 1985. Keyword(s): Radio oceanography, Radio wave propagation, Remote sensing.
    @Article{RDS:RDS2523,
    Title = {An updated model for millimeter wave propagation in moist air},
    Author = {Liebe, Hans J.},
    Doi = {10.1029/RS020i005p01069},
    ISSN = {1944-799X},
    Number = {5},
    Pages = {1069--1089},
    Url = {http://dx.doi.org/10.1029/RS020i005p01069},
    Volume = {20},
    Year = {1985},
    Journal = {Radio Science},
    Keywords = {Radio oceanography, Radio wave propagation, Remote sensing} 
    }
    


  5. Matthew N. O. Sadiku. Refractive index of snow at microwave frequencies. Appl. Opt., 24(4):572-575, February 1985. Keyword(s): Microwaves, Snow, refractive index, refraction, birefringence.
    Abstract: A systematic procedure for calculating the refractive index of snow at microwave frequencies is presented. The refractive index of snow at 0{ extdegree}C was calculated for different snow types (classified in terms of snow wetness as dry, most, wet, and watery) and microwave frequencies. For the sake of completeness, the refractive indices of water and ice were also calculated for the same frequencies.

    @Article{Sadiku1985RefractiveIndexOfSnowTables,
    author = {Matthew N. O. Sadiku},
    title = {Refractive index of snow at microwave frequencies},
    journal = {Appl. Opt.},
    year = {1985},
    volume = {24},
    number = {4},
    pages = {572--575},
    month = feb,
    abstract = {A systematic procedure for calculating the refractive index of snow at microwave frequencies is presented. The refractive index of snow at 0{	extdegree}C was calculated for different snow types (classified in terms of snow wetness as dry, most, wet, and watery) and microwave frequencies. For the sake of completeness, the refractive indices of water and ice were also calculated for the same frequencies.},
    doi = {10.1364/AO.24.000572},
    file = {:Sadiku1985RefractiveIndexOfSnowTables.pdf:PDF},
    keywords = {Microwaves, Snow, refractive index, refraction, birefringence},
    pdf = {../../../docs/Sadiku1985RefractiveIndexOfSnowTables.pdf},
    publisher = {OSA},
    url = {http://ao.osa.org/abstract.cfm?URI=ao-24-4-572},
    
    }
    


  6. Carl A. Wiley. Synthetic Aperture Radars. IEEE Trans. Aerosp. Electron. Syst., AES-21(3):440-443, May 1985. Keyword(s): SAR Processing, Azimuth Focusing, Synthetic Aperture Radar, Adaptive optics, Airborne radar, Aircraft, Doppler radar, Laser radar, Optical signal processing, Radar imaging, Radar signal processing, Railway engineering, Synthetic aperture radar.
    Abstract: This is the 1984 Pioneer Award story-told in the author's own words.

    @Article{wileyTAAS1985SyntheticApertureRadar,
    author = {Wiley, Carl A.},
    title = {Synthetic Aperture Radars},
    journal = {IEEE Trans. Aerosp. Electron. Syst.},
    year = {1985},
    volume = {AES-21},
    number = {3},
    pages = {440-443},
    month = may,
    issn = {0018-9251},
    abstract = {This is the 1984 Pioneer Award story-told in the author's own words.},
    doi = {10.1109/TAES.1985.310578},
    file = {:wileyTAAS1985SyntheticApertureRadar.pdf:PDF},
    keywords = {SAR Processing, Azimuth Focusing, Synthetic Aperture Radar, Adaptive optics;Airborne radar;Aircraft;Doppler radar;Laser radar;Optical signal processing;Radar imaging;Radar signal processing;Railway engineering;Synthetic aperture radar},
    pdf = {../../../docs/wileyTAAS1985SyntheticApertureRadar.pdf},
    
    }
    


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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: Mon Feb 1 16:39:00 2021
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology - ETH Zurich .


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