The NSCT-HMT Model of Remote Sensing Image Based on Gaussian-Cauchy Mixture Distribution

Wang, Xianghai; Song, Ruoxi; Song, Chuanming; Tao, Jingzhe

doi:10.1109/access.2018.2876447

Cited by 6 publications

(3 citation statements)

References 25 publications

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“…The alpha stable distribution noise has no specific probability density function. When α = 1, which makes it subject to the Cauchy distribution noise [20], which exists the following form of probability density function…”

Section: The Crlb Of 2-d Doa Estimation In Alpha Stable Distributmentioning

confidence: 99%

2-D DOA Robust Estimation of Echo Signals Based on Multiple Satellites Passive Radar in the Presence of Alpha Stable Distribution Noise

et al. 2019

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In this paper, the low-performance problem of two-dimensional (2-D) direction of arrival (DOA) estimation with non-Gaussian noise in low signal-to-noise ratio is addressed. For echo signals of the multiple satellites' passive radar, a robust 2-D DOA estimation method based on improved zero-order statistics fractional low-order cyclic correlation (IZOS-FLOCC) under the alpha-stable distribution noise environment is proposed. First, we employ a uniform plane array to establish the model of received signals. Then, the IZOS-FLOCC of the echo signals is constructed based on the cyclostationarity. Finally, the IZOS-FLOCC of signals subspace is obtained by the optimization method. Moreover, we derive the Cramer-Rao low bound of the 2-D DOA estimation of echo signals based on multiple satellites' passive radar in the presence of alpha-stable distribution noise. The simulation results show that the proposed method can effectively estimate the 2-D DOA of echo signals based on multi-satellite radiation sources in the alpha-stable distribution noise environment and achieve better performance than the existing methods. INDEX TERMS Direction of arrival (DOA), parameter estimation, alpha stable distribution noise, satellite, passive radar, Cramer-Rao low bound (CRLB).

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Section: The Crlb Of 2-d Doa Estimation In Alpha Stable Distributmentioning

confidence: 99%

2-D DOA Robust Estimation of Echo Signals Based on Multiple Satellites Passive Radar in the Presence of Alpha Stable Distribution Noise

et al. 2019

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“…where e n,θ k (x, y) and o n,θ k are convolution results of subgraph at location (x, y), which can be calculated by Equation (10).…”

Section: Fusion Rule Of High-frequency Subgraphmentioning

confidence: 99%

“…Compared with the traditional NSCT method [10], the improved NSCT image fusion algorithm with the multiscale, multidirectional, and translation-invariant characteristics can retain more image edge and texture information, which can more completely contain the PD characteristic information of optical and UHF signals. In order to better characterize the PD characteristics of the PD pattern, 28 characteristic parameters, such as moment features and texture features, are extracted from the photoelectric fusion PD pattern and, then, the principal component analysis (PCA) method is used to reduce the feature vector space to eight characteristic parameters.…”

Section: Introductionmentioning

confidence: 99%

A Novel Partial Discharge Detection Method Based on the Photoelectric Fusion Pattern in GIL

Zang

Qian

Liu³

et al. 2019

Energies

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Optical detection and ultrahigh frequency (UHF) detection are two significant methods of partial discharge (PD) detection in the gas-insulated transmission lines (GIL), however, there is a phenomenon of signals loss when using two types of detections to monitor PD signals of different defects, such as needle defect and free particle defect. This makes the optical and UHF signals not correspond strictly to the actual PD signals, and therefore the characteristic information of optical PD patterns and UHF PD patterns is incomplete which reduces the accuracy of the pattern recognition. Therefore, an image fusion algorithm based on improved non-subsampled contourlet transform (NSCT) is proposed in this study. The optical pattern is fused with the UHF pattern to achieve the complementarity of the two detection methods, avoiding the PD signals loss of different defects. By constructing the experimental platform of optical-UHF integrated detection for GIL, phase-resolved partial discharge (PRPD) patterns of three defects were obtained. After that, the image fusion algorithm based on the local entropy and the phase congruency was used to produce the photoelectric fusion PD pattern. Before the pattern recognition, 28 characteristic parameters are extracted from the photoelectric fusion pattern, and then the dimension of the feature space is reduced to eight by the principal component analysis. Finally, three kinds of classifiers, including the linear discriminant analysis (LDA), support vector machine (SVM), and k-nearest neighbor (KNN), are used for the pattern recognition. The results show that the recognition rate of all the photoelectric fusion pattern under different classifiers is higher than that of optical and UHF patterns, up to the maximum of 95%. Moreover, the photoelectric fusion pattern not only greatly improves the recognition rate of the needle defect and the free particle defect, but the recognition accuracy of the floating defect is also slightly improved.

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Adaptive Segmentation on Extracting Textural and Fractal Patterns for Assessing Mangrove Dynamics Using Multi-spectral Data

Bhattacharjee,

Chakravortty

2024

Lecture Notes in Networks and Systems

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The NSCT-HMT Model of Remote Sensing Image Based on Gaussian-Cauchy Mixture Distribution

Cited by 6 publications

References 25 publications

2-D DOA Robust Estimation of Echo Signals Based on Multiple Satellites Passive Radar in the Presence of Alpha Stable Distribution Noise

2-D DOA Robust Estimation of Echo Signals Based on Multiple Satellites Passive Radar in the Presence of Alpha Stable Distribution Noise

A Novel Partial Discharge Detection Method Based on the Photoelectric Fusion Pattern in GIL

Adaptive Segmentation on Extracting Textural and Fractal Patterns for Assessing Mangrove Dynamics Using Multi-spectral Data

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