[PDF] Top 20 Generalized Likelihood Ratio Test for Modified Replacement Model in Hyperspectral Imaging Detection
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Generalized Likelihood Ratio Test for Modified Replacement Model in Hyperspectral Imaging Detection
... The replacement model, which assumes that the abundances sum up to one, is often advocated for subpixel target detection in hyperspectral imaging, and various ... Voir le document complet
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One-step Generalized Likelihood Ratio Test for Subpixel Target Detection in Hyperspectral Imaging
... One-step Generalized Likelihood Ratio Test for Subpixel Target Detection in Hyperspectral Imaging Franc¸ois Vincent and Olivier Besson Abstract—One of the ... Voir le document complet
12
Generalized Likelihood Ratio Test for Detection of Gaussian Rank-One Signals in Gaussian Noise With Unknown Statistics
... addressed detection of a Gaussian signal in col- ored noise with unknown covariance matrix (while the case of white noise has been examined ...thoroughly). In [8], detection of an arbitrary ... Voir le document complet
12
Adaptive target detection in hyperspectral imaging from two sets of training samples with different means
... Keywords: Hyperspectral imaging, detection, generalized likelihood ratio test, Student ...an hyperspectral image serves many purposes, including characterization of ... Voir le document complet
17
Echo Cancellation : the generalized likelihood ratio test for double-talk vs. channel change
... a generalized log likelihood ratio test (GLRT) that does not require this ...the test is evaluated as a function of the system ...However, detection based on about 200 successive ... Voir le document complet
12
Robust adaptive target detection in hyperspectral imaging
... Kelly’s Generalized Likelihood Ratio Test (GLRT) [10] , the Orthogonal Subspace Projection (OSP) [11] , or the Adap- tive Coherent/Cosine Estimator (ACE) [12] , to name the most pop- ular ... Voir le document complet
8
Nonlinearity detection in hyperspectral images using a polynomial post-nonlinear mixing model
... mixing model for hyperspectral image unmixing and nonlinearity ...proposed model assumes that the pixel reflectances are nonlinear functions of pure spectral components contaminated by an ... Voir le document complet
11
Sub-pixel detection in hyperspectral imaging with elliptically contoured t-distributed background
... Recently in [10] we addressed sub-pixel detection using the re- placement model under a Gaussian background, and we derived the plain generalized likelihood ratio test ... Voir le document complet
6
Detecting Flutter Waves in the Electrocardiogram Using Generalized Likelihood Ratio Test
... distribution. In this paper, we develop several detectors using the generalized likelihood ratio test (GLRT) procedure ...accounts for several variations of the ob- served signal ... Voir le document complet
5
Detection of nonlinear mixtures using Gaussian processes: Application to hyperspectral imaging
... pixels in hyperspectral ...combined in a test statistics for which it is possible to estimate a detection threshold given a required probability of false ... Voir le document complet
6
Detection of nonlinear mixtures using Gaussian processes: Application to hyperspectral imaging
... estimator. For instance, a single parame- ter polynomial post-nonlinear mixing model (PPNMM) is assumed in ...chosen model is capable of capturing the actual nonlinear effects present ... Voir le document complet
7
Generalized empirical likelihood for a continuum of moment conditions
... In this thesis, we propose a generalization of the generalized empirical likelihood method (GEL) to allow the possibility of a large number of moment conditions o[r] ... Voir le document complet
214
Approximate waveforms for extreme-mass-ratio inspirals in modified gravity spacetimes
... inspirals, in which a stellar-mass compact object spirals into a supermassive black hole, are prime candidates for detection with space-borne milliHertz gravitational wave detectors, similar to the ... Voir le document complet
32
Likelihood Ratio Testing under Measurement Errors
... original test, the probability of type I error becomes different from the nominal value, but the test is still the most powerful among all tests on the modified ...minimax test of some ... Voir le document complet
10
Asymptotic law of likelihood ratio for multilayer perceptron models.
... parameters in order to avoid numerical problems. In such context, different situations can ...occur. In some cases, such as mixture models, the LR is tight and the calculation of the asymptotic ... Voir le document complet
20
Nonlinear unmixing of hyperspectral images using a generalized bilinear model
... The influence of the endmember extraction step has been evaluated by unmixing the synthetic images with endmem- bers recovered by VCA. Note that there is no pure pixel in these images, as explained previously. ... Voir le document complet
11
Change Detection in Multilook Polarimetric SAR Imagery With Determinant Ratio Test Statistic
... distribution for the covariance matrix ...the test statistic to detect ...ENL. In this article, the ratio of the determinant of two matrices is proposed as a new test statistic to ... Voir le document complet
16
Joint Bayesian Hyperspectral Unmixing for change detection
... framework for HS unmixing [10], their adoption for CD is less ...lution for HS-CD by spectral unmixing based on a Hierar- chical Bayesian ...follows. In the Section 2, we present the proposed ... Voir le document complet
5
Online deconvolution for industrial hyperspectral imaging systems
... archive for the deposit and dissemination of sci- entific research documents, whether they are pub- lished or ...institutions in France or abroad, or from public or private research ... Voir le document complet
33
Generalized Gaussian quasi-maximum likelihood estimation for most common time series
... and Wintenberger ( 2009 ) for the general class of a ffine causal models. Trindade et al. ( 2006 ) studies the ARMA and GARCH models driven by asymmetric Laplace noise, Bardet et al. ( 2017 ) estimated the ... Voir le document complet
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