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Publications about 'SMP'

Articles in journal or book chapters

  1. Martin Proksch, Henning Löwe, and Martin Schneebeli. Density, specific surface area, and correlation length of snow measured by high-resolution penetrometry. J. Geophys. Res. Earth Surf., pp 346-362, 2015. Keyword(s): Snow characterisation, correlation length, snow density, specific surface area, SSA, Snow Micro Pen, SMP, micro-CT, Statistical model, Statistical model relating micro-CT structure to SMP force for many snow data, snow density retrieval, and SSA in the field, Efficient retrieval of spatial variability and 2-D stratigraphy of snow, 2-D stratigraphy of snow. [Abstract] [bibtex-entry]


Conference articles

  1. Mehrdad Soumekh, Gernot Gunther, Mark Linderman, and Ralph Kohler. Digitally-Spotlighted Subaperture SAR Image Formation Using High Performance Computing. In Edmund G. Zelnio, editor, Algorithms for Synthetic Aperture Radar Imagery VII, volume SPIE 4053, pages 260-271, 2000. Keyword(s): SAR Processing, Wavefront Reconstruction, Wavenumber Domain Algorithm, omega-k, RFI Suppression, Subaperture Processing, Parallel Processing, Digital Spotlighting, Slow-Time Upsampling, Alias-free Processing, Real-Time Processing, High Performance Computing, FFTW. [Abstract] [bibtex-entry]


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Disclaimer:

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.
Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright.

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 14:24:59 2023
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology - ETH Zurich .


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