Analysis of Stochastic Distances and Wishart Mixture Models Applied on PolSAR Images

Remote Sensing - Switzerland
doi 10.3390/rs11242994
Full Text
Abstract

Available in full text

Date
Authors
Publisher

MDPI AG

Related search

Unsupervised Wishart Classfication of Wetlands in Newfoundland, Canada Using Polsar Data Based on Fisher Linear Discriminant Analysis

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
2016English

Foreword: Special Issue on the Future of Applied Stochastic Models and Data Analysis

Applied Stochastic Models in Business and Industry
ManagementBusinessSimulationManagement ScienceModelingAccountingOperations Research
2018English

Stochastic Comparisons of Multivariate Mixture Models

Journal of Multivariate Analysis
UncertaintyNumerical AnalysisStatisticsProbability
2009English

A PolSAR Image Segmentation Algorithm Based on Scattering Characteristics and the Revised Wishart Distance

Sensors
InstrumentationInformation SystemsElectronic EngineeringBiochemistryAnalytical ChemistryMolecular Physics,ElectricalAtomicMedicineOptics
2018English

Stochastic Language Models for Style-Directed Layout Analysis of Document Images

IEEE Transactions on Image Processing
Computer GraphicsComputer-Aided DesignSoftware
2003English

A Complete Procedure for Crop Phenology Estimation With PolSAR Data Based on the Complex Wishart Classifier

IEEE Transactions on Geoscience and Remote Sensing
EarthPlanetary SciencesElectricalElectronic Engineering
2016English

Multivariate Wishart Stochastic Volatility and Changes in Regime

AStA Advances in Statistical Analysis
StatisticsProbabilityApplied MathematicsEconomicsAnalysisEconometricsModelingSimulationSocial Sciences
2016English

Turbo Speckle Filtering Applied to PolSAR Data

2008English

Mixture Models for Image Analysis

2019English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy