Long-tail distribution based multiscale-multiband autoregressive detection for hyperspectral imagery

DOI10.1007/s11045-011-0155-2zbMath1272.93108OpenAlexW2026893975MaRDI QIDQ357640

Lin He, Zhenghui Gu, Yuanqing Li, Zhu Liang Yu

Publication date: 12 August 2013

Published in: Multidimensional Systems and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11045-011-0155-2

zbMATH Keywords

fixed-point iterationmultivariate t distributionalternating projectionhyperspectral imagerymultiscale-multiband autoregressionregion target detection

Mathematics Subject Classification ID

Multivariable systems, multidimensional control systems (93C35) Stochastic systems in control theory (general) (93E03)

Related Items (2)

Adaptive algorithm for estimation of two-dimensional autoregressive fields from noisy observations ⋮ Wald tests for direction detection in noise and interference

Uses Software

• ARfit
• mctoolbox

Cites Work

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• Multiscale autoregressive models and wavelets
• Maximum likelihood localization of multiple sources by alternating projection
• Multivariate T-Distributions and Their Applications
• Multiresolution Modeling and Estimation of Multisensor Data
• Estimation of parameters and eigenmodes of multivariate autoregressive models
• Computationally efficient stochastic realization for internal multiscale autoregressive models

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