Heterogeneous ensemble spectral classifiers for hyperspectral images
Authors:
- Dan GuoDGDan Guo
- Jia ZhaiJZJia Zhai
- Xiaodan XieXXXiaodan Xie
- Yong ZhuYZYong Zhu
Open Access
- 1 January 2021
- journal article
- research article
- Published by Elsevier in Procedia Computer Science
- Vol. 187, 229-234
Abstract
No abstract availableKeywords
This publication has 16 references indexed in Scilit:
- Hyperspectral Band Selection: A ReviewIEEE Geoscience and Remote Sensing Magazine, 2019
- Heterogeneous Ensemble-Based Infill Criterion for Evolutionary Multiobjective Optimization of Expensive ProblemsIEEE Transactions on Cybernetics, 2018
- Multiple Kernel Learning for Hyperspectral Image Classification: A ReviewIEEE Transactions on Geoscience and Remote Sensing, 2017
- Advanced Spectral Classifiers for Hyperspectral Images: A reviewIEEE Geoscience and Remote Sensing Magazine, 2017
- ${{\rm E}^{2}}{\rm LMs}$: Ensemble Extreme Learning Machines for Hyperspectral Image ClassificationIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014
- Generalized Composite Kernel Framework for Hyperspectral Image ClassificationIEEE Transactions on Geoscience and Remote Sensing, 2013
- Reducing Fitness Evaluations Using Clustering Techniques and Neural Network EnsemblesLecture Notes in Computer Science, 2004
- Least Squares Support Vector Machine ClassifiersNeural Processing Letters, 1999
- Multinomial logistic regression algorithmAnnals of the Institute of Statistical Mathematics, 1992
- On the mean accuracy of statistical pattern recognizersIEEE Transactions on Information Theory, 1968