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Publications of Xiaojian Xu

Articles in journal or book chapters

  1. S. B. Kim, Mahta Moghaddam, L. Tsang, Mariko S. Burgin, X. Xu, and E. G. Njoku. Models of L-Band Radar Backscattering Coefficients Over Global Terrain for Soil Moisture Retrieval. IEEE Transactions on Geoscience and Remote Sensing, 52(2):1381-1396, February 2014. Keyword(s): Maxwell equations, permittivity, remote sensing by radar, soil, time series, vegetation mapping, L-band radar backscattering coefficient models, Maxwell equations, RMS height, VWC, accurate soil moisture inversion, airborne data, airborne observation, bare surface, co-pol RMS errors, corn crop, datacube errors, dielectric soil constant, distorted Born approximation framework, double-bounce reflectivity, double-bounce volume-surface interaction, empirical formulae, empirical parameters, fast soil moisture inversion, field-based radar data, global land surface, global terrain, grass fields, in situ observation, independent spaceborne phased array type L-band synthetic aperture radars, input parameters, international geosphere-biosphere programme scheme, land surface class simulation, lookup tables, major crops, mean difference range, numerical solutions, physical model outputs, real-time soil moisture inversion, rice crop, shrub, single scatterer, soil moisture active passive mission data, soil moisture retrieval, soil surface root mean square, sophisticated forward model direct inversion, soybean crop, spaceborne Aquarius scatterometer data, surface scattering, theoretical models. [Abstract] [bibtex-entry]


Conference articles

  1. X. Xu, C. A. Baldi, J. De Bleser, Y. Lei, S. Yueh, and D. Esteban-Fernandez. Multi-Frequency Tomography Radar Observations of Snow Stratigraphy at Fraser During SnowEx. In IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, pages 6269-6272, July 2018. Keyword(s): CW radar, FM radar, geophysical signal processing, hydrological techniques, radar polarimetry, radar signal processing, remote sensing by radar, snow, signal processing algorithm, snow free image, snow density, ground snow pit measurement, radar design, snow layer, multiple viewing positions, radar echo, tomography technique, radar channel, three-dimensional variability, fully polarimetric frequency-modulated continuous-wave radar, triple-frequency, 2017 NASA SnowEx campaign, Earth's terrestrial snow-covered regions, multiyear airborne snow campaign, Fraser, snow stratigraphy, multifrequency tomography radar observations, frequency 17.2 GHz, size 30.0 cm, frequency 9.6 GHz, frequency 13.5 GHz, Snow, Tomography, Synthetic aperture radar, Radar polarimetry, Spaceborne radar, Radar imaging, tomography, snow, FMCW radar, SWE. [Abstract] [bibtex-entry]


  2. Xiaojian Xu and R. M. Narayanan. SAR image enhancement using noninteger Nyquist SVA technique. In Proc. IEEE Antennas and Propagation Society International Symposium, volume 4, pages 298-301, 2002. Keyword(s): SAR Processing, Apodization, Spatially Variant Apodization, SVA, ISAR, image enhancement, image resolution, inverse SAR imaging, iterative super SVA procedure, noninteger Nyquist SVA, nonlinear filtering, sidelobe level reduction, spatially variant apodization, synthetic aperture radar, iterative methods, nonlinear filters. [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.
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 16:39:02 2021
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology - ETH Zurich .


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