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Publications of Yngvar Larsen

Articles in journal or book chapters

  1. Geir Engen and Yngvar Larsen. Efficient Full Aperture Processing of TOPS Mode Data Using the Moving Band Chirp Z -Transform. IEEE Trans. Geosci. Remote Sens., 49(10):3688-3693, October 2011. Keyword(s): SAR Processing, TOPS, Terrain Observation by Progressive Scans, Z transforms, artificial satellites, satellite communication, European Space Agency, Sentinel-1 operational satellite, TOPS mode data, Terrain Observation by Progressive Scans, azimuth aperture, full aperture processing, imaging mode, moving band chirp Z-transform, signal transform, wavenumber domain processor, Antennas, Azimuth, Bandwidth, Chirp, Doppler effect, Focusing, Time frequency analysis, SAR processing, synthetic aperture radar (SAR), terrain observation by progressive scans (TOPS). [Abstract] [bibtex-entry]


  2. Tom R. Lauknes, Howard A. Zebker, and Y. Larsen. InSAR Deformation Time Series Using an L1-Norm Small-Baseline Approach. IEEE Trans. Geosci. Remote Sens., 49(1):536-546, January 2011. Keyword(s): SAR Processing, InSAR deformation time series, L1-norm small-baseline approach, displacement phase, land displacement monitoring, reweighted least squares algorithm, satellite data, satellite synthetic aperture radar interferometry, sparse data set, surface displacement, two-dimensional unwrapping, unwrapped interferogram, least squares approximations, radar interferometry, spaceborne radar, synthetic aperture radar, time series;. [Abstract] [bibtex-entry]


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Please note that access to full text PDF versions of papers is restricted to the Chair of Earth Observation and Remote Sensing, Institute of Environmental Engineering, ETH Zurich.
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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: Fri Feb 24 14:22:27 2023
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology - ETH Zurich .


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