Bayesian Linear Unmixing of Hyperspectral Images Corrupted by Colored Gaussian Noise With Unknown Covariance Matrix

doi 10.1109/icassp.2008.4518389
Full Text
Abstract

Available in full text

Date
Authors
Publisher

IEEE

Related search

Image Denoising by OWT for Gaussian Noise Corrupted Images

International Journal of Trend in Scientific Research and Development
2018English

Edge Detection Innovator Based on Wavelet Coefficients for Images Corrupted by the White-Gaussian Noise

Scientific Research and Essays
2011English

Comparative Analysis of Covariance Matrix Estimation for Anomaly Detection in Hyperspectral Images

IEEE Journal on Selected Topics in Signal Processing
Electronic EngineeringSignal ProcessingElectrical
2015English

A Generalized Subspace Approach for Enhancing Speech Corrupted by Colored Noise

IEEE Transactions on Speech and Audio Processing
2003English

Implementation Strategies for Hyperspectral Unmixing Using Bayesian Source Separation

IEEE Transactions on Geoscience and Remote Sensing
EarthPlanetary SciencesElectricalElectronic Engineering
2010English

RCMF: Robust Constrained Matrix Factorization for Hyperspectral Unmixing

IEEE Transactions on Geoscience and Remote Sensing
EarthPlanetary SciencesElectricalElectronic Engineering
2017English

Unmixing Multitemporal Hyperspectral Images Accounting for Smooth and Abrupt Variations

2017English

Nonlinear Unmixing of Hyperspectral Data Using Semi-Nonnegative Matrix Factorization

IEEE Transactions on Geoscience and Remote Sensing
EarthPlanetary SciencesElectricalElectronic Engineering
2014English

Supervised Nonlinear Unmixing of Hyperspectral Images Using a Pre-Image Methods

EAS Publications Series
AstrophysicsEngineeringAstronomyPlanetary ScienceSpace
2013English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy