Publications about 'fractal'

Articles in journal or book chapters

1. Jianbing Xiang, Xiaolei Lv, Xikai Fu, and Ye Yun. Detection and Estimation Algorithm for Marine Target With Micromotion Based on Adaptive Sparse Modified-LV's Transform. IEEE Transactions on Geoscience and Remote Sensing, 60:1-17, 2022. Keyword(s): Clutter, Radar, Radar detection, Radar clutter, Frequency modulation, Fractals, Estimation, Adaptive sparse Fourier transform (ASFT), adaptive sparse-modified Lv's transform (ASMLVT), Mairne targets, micro-Doppler (m-D), modified-Lv's transform (MLVT), radar target detection and estimation. [Abstract] [bibtex-entry]



2. G. Gomba and F. De Zan. Bayesian Data Combination for the Estimation of Ionospheric Effects in SAR Interferograms. IEEE_J_GRS, 55(11):6582-6593, November 2017. Keyword(s): SAR Processing, split-spectrum, split-spectrum interferometry, split-band, split-band interferometry, Bayes methods, Faraday effect, fractals, inverse problems, ionospheric electromagnetic wave propagation, radar imaging, radar interferometry, remote sensing by radar, synthetic aperture radar, Bayesian data combination, Bayesian inverse problem, Faraday rotation method, SAR images, SAR interferograms, advanced land observing satellite phased array type L-band SAR L-band images, azimuth mutual shifts, data-based model parameter estimation, differential ionospheric phase screen, error source, estimation accuracy, information sources, interferometric pair images, ionosphere turbulence, ionospheric effects estimation, ionospheric propagation path delay, physically realistic fractal modeling, range variations, sensitive azimuth shifts, simple split-spectrum method, small-scale azimuth variations, synthetic aperture radar interferograms, Azimuth, Estimation, Extraterrestrial measurements, Ionosphere, Synthetic aperture radar, Ionosphere estimation, SAR ionospheric effects, interferometric synthetic aperture radar (SAR), methods\textquoteright combination. [Abstract] [bibtex-entry]



3. K. Sarabandi and Y.-C. Lin. Simulation of interferometric SAR response for characterizing the scattering phase center statistics of forest canopies. IEEE Trans. Geosci. Remote Sens., 38(1):115-125, January 2000. Keyword(s): InSAR, Monte Carlo simulation, SAR, backscatter, coherent scattering model, equivalent scatterer, forest, forest canopy, forestry, fractal, geophysical measurement technique, interferometric SAR, physical parameters, radar remote sensing, radar theory, scatterer collection, scattering phase center statistics, simulation, synthetic aperture radar, vegetation mapping, Monte Carlo methods, backscatter, forestry, fractals, geophysical techniques, radar cross-sections, radar theory, remote sensing by radar, synthetic aperture radar, vegetation mapping;. [Abstract] [bibtex-entry]



4. Giorgio Franceschetti, Maurizio Migliaccio, and Daniele Riccio. SAR Raw Signal Simulation of Actual Ground Sites Described in Terms of Sparse Input Data. IEEE Transactions on Geoscience and Remote Sensing, 32(6):1160-1169, November 1994. Keyword(s): SAR Processing, Simulation, SAR Simulator, Raw Data Simulator, Fractals, Sparse Input Data, SARAS. [Abstract] [bibtex-entry]

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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.

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