Polarimetric Temporal Decorrelation Studies by Means of GBSAR Sensor Data
2006 IEEE International Symposium on Geoscience and Remote Sensing, 2006In this paper, a study of the temporal evolution of the elements of 3 x 3 covariance matrix using an X-band polarimetric ground-based SAR sensor is proposed. Although the heterogeneity of the scenario allows to select different target typologies, the study is mainly focused on the analysis of azimuthally symmetric distributed targets.
Luca Pipia +4 more
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Polinsar forestry applications improved by modeling height-dependent temporal decorrelation
2010 IEEE International Geoscience and Remote Sensing Symposium, 2010We model the temporal decorrelation in volumetric media imaged by a repeat-pass SAR interferometer by using a temporal correlation function that varies with depth. An expression of this function is proposed and based on the Brownian motion of the canopy and soil elements. The spatial and temporal correlation terms are merged in a single coherence model
Marco Lavalle +3 more
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Forest temporal decorrelation: 3D analyses and processing in the Diff-Tomo framework
2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS, 2013Techniques based on coherent combination of complex (amplitude and phase) SAR data, in particular Pol-InSAR and 3D multibaseline SAR Tomography (Tomo-SAR), can extract rich information on complex scenarios with multiple scatterers mapped in the SAR cell.
LOMBARDINI, FABRIZIO +3 more
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Consequences of interaural decorrelation of speech temporal fine structure
The Journal of the Acoustical Society of America, 2019The ability to understand a target speech signal against a background of interfering speech signals is typically improved when the interfering signals are spatially separated (spatial release from masking; SRM). Swaminathan et al. (2016) found a significant reduction in SRM when the temporal fine structure (TFS) across the left and right ears was ...
Lucas Baltzell +2 more
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Comparison of Seafloor Roughness and Scattered Acoustic Temporal Decorrelation
IEEE Journal of Oceanic Engineering, 2009Connecting changes in acoustic scattering from the seafloor with changes in seafloor topography is essential for modeling the time dependence of the scattering and the development of acoustics as a tool for the remote sensing of benthic activity. An equation is derived that links the decorrelation of scattered acoustic power with the decorrelation of ...
A.L. Gerig +3 more
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Analyzing Decorrelation of Multi-temporal SAR Data on InSAR
2008 Congress on Image and Signal Processing, 2008Coherence is an important parameter, which appraises quality of topical interferometery fringe and reflects the volume scatter information in InSAR. So it is important for generation of DEM, classification of surface features, estimation of backscatter layers, and quality of differential interferometery processing.
Bingyuan Hao +3 more
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Blind signal deconvolution by spatio-temporal decorrelation and demixing
Neural Networks for Signal Processing VII. Proceedings of the 1997 IEEE Signal Processing Society Workshop, 2002We present a simple efficient local unsupervised learning algorithm for online adaptive multichannel blind deconvolution and separation of i.i.d. sources. Under mild conditions, there exits a stable inverse system so that the source signals can be exactly recovered from their convolutive mixtures.
null Seungjin Choi, A. Cichocki
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Temporal Decorrelation Studies for Vegetation Parameter Estimation with Space-Borne Radars
IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, 2008The SAR/InSAR component of the NASA DesdynI mission for measuring vertical vegetation structure from space consists of four possible approaches. These include the use of radar backscatter to estimate biomass, to employ PolInSAR relative phase for measuring the vertical extent, the use of interferometric phase and a ground reference, or the use of ...
Razi Ahmed +4 more
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Analysis of Temporal Decorrelation in Dual-Baseline Polinsar Vegetation Parameter Estimation
IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, 2008Vegetation parameters can be estimated using the single-baseline polarimetric synthetic aperture radar interferometry (POLinSAR) data based on the random volume over ground (RVoG) model. Temporal decorrelation, which is the coherence loss due to scene changes within the time between radar data acquisitions, will decrease the estimation accuracy and ...
Yong-Sheng Zhou +4 more
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Temporal decorrelation: a theory of lagged and nonlagged responses in the lateral geniculate nucleus
Network: Computation in Neural Systems, 1995Summary: Natural time-varying images possess significant temporal correlations when sampled frame by frame by the photoreceptors. These correlations persist even after retinal processing and hence, under natural activation conditions, the signal sent to the lateral geniculate nucleus (LGN) is temporally redundant or inefficient.
Dong, Dawei W., Atick, Joseph J.
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