Dr. Jorge V. Geaga Profile

Dr. Jorge V. Geaga

Retired

SPIE Involvement:

Author

Area of Expertise:

Physics , polarimetric SAR , neural nets

Websites:

Personal Website

Publications (11)

Proceedings Article | 27 May 2022 Presentation + Paper

Statistical distributions of POLSAR observables

Jorge Geaga

Proceedings Volume 12108, 1210805 (2022) https://doi.org/10.1117/12.2617635

KEYWORDS: Scattering, L band, Statistical analysis, Rayleigh scattering, Agriculture, Monte Carlo methods, Backscatter, Polarimetry, Matrices, Doppler effect

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Proceedings Article | 23 April 2020 Paper

Method for determining low entropy POLSAR coherence matrices

Jorge Geaga

Proceedings Volume 11408, 1140804 (2020) https://doi.org/10.1117/12.2552211

KEYWORDS: Ka band, Matrices, Scattering, Synthetic aperture radar, X band, L band, Doppler effect, Radar, Polarimetry, Light scattering

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Proceedings Article | 3 May 2019 Presentation + Paper

Empirical observations from analysis of coherency matrices of 4-look SIR-C data

Jorge Geaga

Proceedings Volume 11003, 110030I (2019) https://doi.org/10.1117/12.2514880

KEYWORDS: Scattering, L band, Matrices, Multiple scattering, Image segmentation, Doppler effect, Polarimetry, Synthetic aperture radar, Backscatter, Capillaries

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Proceedings Article | 1 May 2017 Presentation + Paper

Determining the coherence matrix for single look polarimetric SAR data

Jorge Geaga

Proceedings Volume 10188, 101880N (2017) https://doi.org/10.1117/12.2257449

KEYWORDS: L band, Multiple scattering, Image segmentation, Neural networks, Backscatter, Polarimetry, Synthetic aperture radar, Scattering, Algorithm development, Doppler effect, Matrices

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Proceedings Article | 12 May 2016 Paper

Segmenting and extracting terrain surface signatures from fully polarimetric multilook SIR-C data

Jorge Geaga

Proceedings Volume 9829, 98290D (2016) https://doi.org/10.1117/12.2220313

KEYWORDS: Polarimetry, Neural networks, Synthetic aperture radar, L band, Matrices, Evolutionary algorithms, Landsat, Vegetation, Agriculture, Scattering, Image segmentation, Radar

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Proceedings Article | 21 May 2015 Paper

An algorithm for segmenting polarimetric SAR imagery

Jorge Geaga

Proceedings Volume 9461, 94610P (2015) https://doi.org/10.1117/12.2175837

KEYWORDS: Image segmentation, Polarimetry, Neural networks, L band, Scattering, Synthetic aperture radar, Landsat, Algorithm development, Polarization, Earth observing sensors

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Proceedings Article | 9 May 2012 Paper

Features for landcover classification of fully polarimetric SAR data

Jorge Geaga

Proceedings Volume 8361, 836108 (2012) https://doi.org/10.1117/12.917226

KEYWORDS: Polarimetry, Matrices, Scattering, Neural networks, Synthetic aperture radar, Vegetation, Optical spheres, Prototyping, Radar, Polarization

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Proceedings Article | 21 June 2011 Paper

Phenomenology of fully polarimetric imaging radars

Jorge Geaga

Proceedings Volume 8021, 802109 (2011) https://doi.org/10.1117/12.883043

KEYWORDS: Radar, Polarimetry, Chemical elements, Scattering, Matrices, Polarization, Antennas, X band, Binary data, Stanford Linear Collider

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Proceedings Article | 27 April 2010 Paper

Phenomenology of fully polarimetric SIR-C data

Jorge Geaga

Proceedings Volume 7669, 766916 (2010) https://doi.org/10.1117/12.849231

KEYWORDS: Polarimetry, Stanford Linear Collider, Scattering, Data modeling, Polarization, Antennas, Synthetic aperture radar, Vegetation, Radar, Sensors

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Proceedings Article | 29 April 2009 Paper

Stokes matrix eigenvectors of fully polarimetric SAR data

Jorge Geaga

Proceedings Volume 7308, 73080E (2009) https://doi.org/10.1117/12.817587

KEYWORDS: Scattering, Polarimetry, Synthetic aperture radar, Radar, L band, Polarization, Backscatter, Matrices, Soil science, Electromagnetic scattering

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Proceedings Article | 16 December 1992 Paper

Neural net spectral pattern recognition

Jorge Geaga, Thach Le, Charlene Sailer

Proceedings Volume 1766, (1992) https://doi.org/10.1117/12.130865

KEYWORDS: Polarimetry, Synthetic aperture radar, Neural networks, Landsat, Vegetation, Image processing, Stochastic processes, Signal processing, Image classification, Earth observing sensors

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Showing 5 of 11 publications

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