Publications about 'decorrelation effects'

Articles in journal or book chapters

1. Dieter Luebeck, Christian Wimmer, Laila F. Moreira, Marlon Alcantara, Oré Gian, Juliana A. Gós, Luciano P. Oliveira, Bárbara Teruel, Leonardo S. Bins, Lucas H. Gabrielli, and Hugo E. Hernandez-Figueroa. Drone-borne Differential SAR Interferometry. Remote Sensing, 12(5), 2020. [Abstract] [bibtex-entry]



2. Francescopaolo Sica, Sofie Bretzke, Andrea Pulella, Jose-Luis Bueso-Bello, Michele Martone, Pau Prats-Iraola, Maria-Jose Gonzalez-Bonilla, Michael Schmitt, and Paola Rizzoli. InSAR Decorrelation at X-Band From the Joint TanDEM-X/PAZ Constellation. IEEE Geoscience and Remote Sensing Letters, pp 1-5, 2020. [Abstract] [bibtex-entry]



3. Marco Lavalle and Scott Hensley. Extraction of Structural and Dynamic Properties of Forests From Polarimetric-Interferometric SAR Data Affected by Temporal Decorrelation. IEEE Trans. Geosci. Remote Sens., 53(9):4752-4767, September 2015. Keyword(s): SAR Processing, Decorrelation, Temporal Decorrelation, Gaussian processes, optical radar, radar imaging, radar interferometry, radar polarimetry, synthetic aperture radar, vegetation mapping, Gaussian-statistic motion model, Harvard Forest, L-band NASA Uninhabited Aerial Vehicle Synthetic Aperture Radar, Laser Vegetation and Ice Sensor, Massachussetts, NASA lidar, RMoG model, RVoG model, USA, canopy elements, canopy motion, forest biomass estimation, forest dynamic property, forest property estimation, forest structural property, forest vertical structure, least square distance minimization, lidar-derived height, multiplicative factors, polarimetric channels, polarimetric-interferometric SAR data, polarimetric-interferometric coherence, polarimetric-interferometric radar image, random-motion-over-ground model, random-volume-over-ground model, temporal coherence, temporal decorrelation effect, tree height, volumetric coherence, volumetric decorrelation effect, wave polarization, Biomass, Coherence, Data models, Decorrelation, Radar, Vegetation, Decorrelation, interferometry, polarimetry. [Abstract] [bibtex-entry]



4. Seung-Kuk Lee, Florian Kugler, Konstantinos P. Papathanassiou, and Irena Hajnsek. Quantification of Temporal Decorrelation Effects at L-Band for Polarimetric SAR Interferometry Applications. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6(3):1351-1367, June 2013. Keyword(s): SAR Processing, Decorrelation, Temporal Decorrelation, airborne radar, data acquisition, decorrelation, estimation theory, radar polarimetry, spaceborne radar, synthetic aperture radar, BioSAR 2007, L-band E-SAR repeat-pass data acquisition, Pol-InSAR forest parameter inversion, TempoSAR 2008, TempoSAR 2009, ground temporal decorrelation effect, height inversion error, interferometric repeat-pass mode, multibaseline Pol-InSAR data acquisition, polarimetric SAR interferometry application, quantitative estimation, rain-induced dielectric change, satellite airborne SAR system, temporal baseline estimation, time 10 min to 54 day, velocity 2 m/s, volume temporal decorrelation effect, Height inversion, polarimetric synthetic aperture radar interferometry (Pol-InSAR), temporal baseline, temporal decorrelation. [Abstract] [bibtex-entry]



5. G. Fornaro and A.M. Guarnieri. Minimum mean square error space-varying filtering of interferometric SAR data. IEEE Transactions on Geoscience and Remote Sensing, 40(1):11 -21, January 2002. Keyword(s): SAR Processing, SAR Interferometry, DEM, Doppler centroid decorrelation, IFSAR, InSAR, algorithm, azimuth direction, digital elevation model, geometrical decorrelation, geophysical measurement technique, imaging, interferometric SAR, land surface, minimum mean square error method, nonplanar topography, radar remote sensing, scene topography, space varying filtering, space-variant, synthetic aperture radar, terrain mapping, geophysical signal processing, geophysical techniques, radar imaging, remote sensing by radar, synthetic aperture radar, terrain mapping. [Abstract] [bibtex-entry]



6. Dieter Just and Richard Bamler. Phase Statistics of Interferograms with Applications to Synthetic Aperture Radar. Applied Optics, 33(20):4361-4368, July 1994. Keyword(s): SAR Processing, InSAR, Interferometry, SAR Interferometry, Phase Statistics, Decorrelation, Aberrations, Wavenumber Shift, Coregistration. [Abstract] [bibtex-entry]



7. Jong-Sen Lee, K. W. Hoppel, S. A. Mango, and A. R. Miller. Intensity and phase statistics of multilook polarimetric and interferometric SAR imagery. IEEE Trans. Geosci. Remote Sens., 32(5):1017-1028, September 1994. Keyword(s): feature extraction, geophysical techniques, geophysics computing, image coding, image recognition, remote sensing by radar, synthetic aperture radar, complex correlation coefficient, data compression, decorrelation effects, feature classification, feature extraction, geophysical measurement technique, image classification, intensity statistics, interferometric SAR imagery, land surface imaging, multilook phase difference, multilook polarimetry, phase statistics, probability density function, radar remote sensing, scattering matrix, signal processing, speckle reduction, synthetic aperture radar, Covariance matrix, Decorrelation, Density functional theory, NASA, Phase measurement, Radar polarimetry, Radar scattering, Sea measurements, Speckle, Statistics. [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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