Publications about 'Polynomials'

Articles in journal or book chapters

  1. Alireza Tabatabaeenejad, Mariko S. Burgin, X. Duan, and Mahta Moghaddam. P-Band Radar Retrieval of Subsurface Soil Moisture Profile as a Second-Order Polynomial: First AirMOSS Results. IEEE Transactions on Geoscience and Remote Sensing, 53(2):645-658, February 2015. Keyword(s): hydrological techniques, remote sensing by radar, vegetation, AD 2012 09, AD 2012 10, AirMOSS mission flights, AirMOSS results, Airborne Microwave Observatory of Sub- canopy and Subsurface, Arizona, P-band radar data, Root Mean Squared Error, Walnut Gulch Experimental Watershed, barren terrain, discrete scattering model, radar pixel, second-order polynomial, shrubland terrain, subsurface depth function, subsurface soil moisture profile, synthetic radar data, terrain radar backscattering coefficients, vegetated terrain, Atmospheric modeling, Data models, Moisture, Polynomials, Radar, Soil moisture, Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS), discrete scattering model, quadratic function, radar, remote sensing, second-order polynomial, simulated annealing, soil moisture profile. [Abstract] [bibtex-entry]

  2. Y. Gao, W. Yu, Y. Liu, R. Wang, and C. Shi. Sharpness-Based Autofocusing for Stripmap SAR Using an Adaptive-Order Polynomial Model. IEEE Geoscience and Remote Sensing Letters, 11(6):1086-1090, June 2014. Keyword(s): conjugate gradient methods, maximum likelihood estimation, optical focusing, polynomials, radar imaging, search problems, synthetic aperture radar, closed-form expression, airborne SAR data experiment, modified adaptive-order searching strategy, conjugate gradient algorithm, polynomial expansion coefficient, sharpness function gradient, maximum-posterior estimation, SAR, stripmap-mode synthetic aperture radar image data, adaptive-order polynomial model, image sharpness-based autofocusing technique, Synthetic aperture radar, Polynomials, Accuracy, Estimation, Azimuth, Adaptation models, Optimization, Autofocus, conjugate gradient method (CGM), sharpness, synthetic aperture radar (SAR), Autofocus, conjugate gradient method (CGM), sharpness, synthetic aperture radar (SAR). [Abstract] [bibtex-entry]

  3. D. Zhu, R. Jiang, X. Mao, and Z. Zhu. Multi-Subaperture PGA for SAR Autofocusing. IEEE Transactions on Aerospace and Electronic Systems, 49(1):468-488, January 2013. Keyword(s): SAR Processing, Autofocus, synthetic aperture radar, SAR autofocusing, spotlight mode synthetic aperture radar, full-aperture phase gradient autofocus, PGA algorithm, high-order phase error, residual range cell migration, RCM, coherent processing interval, stripmap data, multisubaperture PGA algorithm, map drift technique, subaperture phase error, PGA-MD, Electronics packaging, Synthetic aperture radar, Azimuth, Image resolution, Accuracy, Polynomials, Estimation. [Abstract] [bibtex-entry]

Conference articles

  1. David Small, Betlem Rosich, Erich Meier, and Daniel Nüesch. Geometric Calibration and Validation of ASAR Imagery. In CEOS SAR Workshop 2004, Ulm, May 2004. Keyword(s): SAR Geocoding, Calibration, Validation, Quality Assessment, ASAR, ENVISAT. [Abstract] [bibtex-entry]



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: Mon Feb 1 16:40:47 2021
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology - ETH Zurich .

This document was translated from BibTEX by bibtex2html