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您的检索式：作者名="CUI HaoGui"
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| 1 | Novel estimators of equivalent number of looks in polarimetric SAR imagery based on sub-matrices显示文摘The equivalent number of looks(ENL) is an important parameter in the multilook statistical model of polarimetric synthetic aperture radar(Pol-SAR). Recently, the maximum likelihood(ML) method was proposed and gave a good performance in the Gaussian model case by using the full covariance matrix instead of the intensity of Pol-SAR data, but it generated underestimates in the product model case. In this paper several novel ENL estimators are presented via certain cumulants of the log-determinant of the sub-matrices of the multilook polarimetric covariance matrix. The texture effect to the ENL estimates is eliminated, and the analytic estimators are derived. The estimators use the full covariance matrix and sub-matrices information, rather than the intensities of polarization channels. All the novel estimators are suitable for any texture model and thus provide more accurate results than many existing ones. Experiments using simulated data and real data are presented to evaluate the performance of different estimators. The results show that the second log-determinant moment(SLDM3)-based method is the best one among the novel estimators. At the same time this estimator has much less computational complexity. In addition, a novel distribution classification method is proposed by coloring the image via second- and third-order log-cumulants of the covariance matrix(MLC), which is helpful to assess the estimation result. | Tao LIU Haogui CUI Zemin XI Jun GAO | 2016 | Science China(Information Sciences)2016，59，6： | 7 |
| 2 | Modeling multilook polarimetric SAR images with heavy-tailed rayleigh distribution and novel estimation based on matrix log-cumulants显示文摘With the improvements in modern radar resolution,the Gaussian-fluctuation model based on the central limit theorem does not accurately describe the scattering echo from targets.In contrast,the heavytailed Rayleigh distribution,based on the generalized central limit theorem,performs well in modeling the synthetic aperture radar(SAR) images,whereas its application to multi-look image processing is difficult.We describe successful modeling of multilook polarimetric SAR images with the heavy-tailed Rayleigh distribution and present novel parameter estimators based on matrix log-cumulants for the heavy-tailed Rayleigh distribution including the equivalent number of looks(ENL).First,a compound variable of heavy-tailed Rayleigh distribution is divided into a product of a positive alpha-stable variable and a complex Gaussian variable.The parameter estimations of the characteristic exponent and scale parameter based on log-cumulants in a single polarization channel are then derived.Second,the matrix log-cumulants(MLCs) for full polarization in multilook images are obtained,which can be applied to estimate model parameters.Therefore,a novel ENL estimator based on MLC is presented that describes the model more precisely.Extended to all other multivariable product models,this estimator performs better than existing methods.Finally,calculations on both simulated and real data are performed that give good fits with theoretical results.Multilook processing in one image with a fixed pixel number can improve parameter estimations over single-look processing.Our heavy-tailed Rayleigh model with its parameter estimation provides a new method to analyze the multilook polarimetric SAR images for target detection and classification. | LIU Tao CUI HaoGui MAO Tao XI ZeMin GAO Jun | 2013 | Science China(Information Sciences)2013，56，6： | 4 |
| 3 | Texture-invariant Estimation of Equivalent Number of Looks Based on Trace Moments in Polarimetric Radar Imagery显示文摘 | Liu Tao Cui Haogui Xi Zemin | 2014 | IEEE Geoscience and Remote Sensing Letters2014，11，6： | 1 |
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