Results 171 to 180 of about 12,227,892 (191)

Effects of foliage on the formation of K-distributed SAR imagery

Signal Processing, 1999
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GINI, FULVIO, A. FARINA, LOMBARDINI, FABRIZIO   +2 more
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On the statistics of K-distributed noise

Journal of Physics A: Mathematical and General, 1980
When the number of steps in a random walk varies, the distribution of the resultant vector components in the limit of large mean step number may be non-Gaussian. The statistics and temporal correlation properties of one class of such non-Gaussian limit distributions are derived and some of its potential applications are reviewed briefly.
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Signal excess in K -distributed reverberation

IEEE Journal of Oceanic Engineering, 2003
Active sonar systems have recently been developed using larger arrays and broad-band sources to counter the detrimental effects of reverberation in shallow-water operational areas. Increasing array size and transmit waveform bandwidth improve the signal-to-noise ratio-and-reverberation power ratio (SNR) after matched filtering and beamforming by ...
D.A. Abraham, A.P. Lyons
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Bootstrapped K-Distribution Parameter Estimation

OCEANS 2006, 2006
Parameter estimation for the K distribution is an essential part of the statistical analysis of non-Rayleigh sonar reverberation and clutter for performance prediction, estimation of scattering properties, and for use in signal and information processing algorithms.
Douglas A. Abraham, Anthony P. Lyons
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Calculating the K-distribution by saddlepoint integration

IEE Proceedings - Radar, Sonar and Navigation, 1995
An important probability distribution for modelling non-Gaussian phenomenon is the K-distribution. Because of its widespread use in radar and underwater acoustics, a method for calculating the distribution is required which is both easy and efficient.
S.D. Gordon, J.A. Ritcey
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STAP performance in K-distributed clutter

2010 IEEE Radar Conference, 2010
We investigate the impact of heterogeneous clutter on STAP performance. The K-distribution is a good fit for many clutter scenes of interest and will be the main focus of this paper. We introduce a cell-based model that can simulate realistic spikiness of heterogeneous clutter, allowing us to empirically measure the losses in detection performance.
Jeong Hwan Bang, William L. Melvin, Aaron Lanterman   +2 more
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Applicability of the K distribution to RADARSAT maritime imagery

IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004, 2004
Estimators of K distribution parameters are reviewed. On the basis of a chi2-test, 12 RADARSAT images (Standard, Wide and ScanSAR) are found to be rather well described by a K distribution; however, their false alarm rate is an order too high.
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Homodyned-K Distribution With Additive Gaussian Noise

IEEE Transactions on Aerospace and Electronic Systems, 2019
The homodyned-K (HK) distribution is a three-parameter density function used to study mixed-species radar and ultrasound scattering phenomena. We analyze the distribution that results from corrupting the HK with additive Gaussian noise (HKN). This modification enables analytic study of the HK in the presence of system thermal noise in radar and ...
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Na and K distribution in agpaitic pegmatites☆

Lithos, 2007
Abstract Composition and zoning of amphibole in agpaitic pegmatites of the 1.16 Ga Ilimaussaq complex, South Greenland record the chemical evolution of the final stages of an already extremely fractionated melt. Our results show that the general differentiation trends found in the earlier rocks of the complex are continued in the pegmatites, albeit ...
Daniel Müller-Lorch, Michael A.W. Marks, Gregor Markl   +2 more
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Comparison of parameter estimators for K-distribution

IEE Proceedings - Radar, Sonar and Navigation, 1994
Parameter estimation forms an essential part of many signal- and image-processing tasks. In particular, in the analysis of coherent imagery, such as that provided by synthetic aperture radar (SAR), parameter estimation is required to characterise the statistical properties of homogeneous regions for use in segmentation and target detection algorithms ...
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