Fast Semi-Supervised Unmixing of Hyperspectral Image by Mutual Coherence Reduction and Recursive PCA

Remote Sensing - Switzerland
doi 10.3390/rs10071106
Full Text
Abstract

Available in full text

Date
Authors
Publisher

MDPI AG

Related search

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

EAS Publications Series
AstrophysicsEngineeringAstronomyPlanetary ScienceSpace
2013English

Semi Supervised Image Segmentation by Optimal Color Seed Selection Using Fast Genetic Algorithm

International Journal of Computer Applications
2011English

Nonlinear Unmixing of Hyperspectral Data Using Semi-Nonnegative Matrix Factorization

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

Enhancing Hyperspectral Image Quality Using Nonlinear PCA

2014English

Hyperspectral Image Unmixing With LiDAR Data-Aided Spatial Regularization

IEEE Transactions on Geoscience and Remote Sensing
EarthPlanetary SciencesElectricalElectronic Engineering
2018English

Sparse Unmixing of Hyperspectral Data

IEEE Transactions on Geoscience and Remote Sensing
EarthPlanetary SciencesElectricalElectronic Engineering
2011English

Supervised and Semi-Supervised Self-Organizing Maps for Regression and Classification Focusing on Hyperspectral Data

Remote Sensing
EarthPlanetary Sciences
2019English

Semi-Supervised Spectral-Texture Image Classification Algorithm

Interexpo GEO-Siberia
2019English

A New Multiple Classifier System for Semi-Supervised Analysis of Hyperspectral Images

2012English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy