The use of small training sets containing mixed pixels for accurate hard image classification: Training on mixed spectral responses for classification by a SVM
- 22 June 2006
- journal article
- Published by Elsevier BV in Remote Sensing of Environment
- Vol. 103 (2), 179-189
- https://doi.org/10.1016/j.rse.2006.04.001
Abstract
No abstract availableKeywords
This publication has 27 references indexed in Scilit:
- A Semilabeled-Sample-Driven Bagging Technique for Ill-Posed Classification ProblemsIEEE Geoscience and Remote Sensing Letters, 2005
- A comparison of methods for multiclass support vector machinesIEEE Transactions on Neural Networks, 2002
- Classification and Change Detection Using Landsat TM Data: When and How to Correct Atmospheric Effects?Remote Sensing of Environment, 2001
- Linear spectral mixture models and support vector machines for remote sensingIEEE Transactions on Geoscience and Remote Sensing, 2000
- The significance of border training patterns in classification by a feedforward neural network using back propagation learningInternational Journal of Remote Sensing, 1999
- An evaluation of some factors affecting the accuracy of classification by an artificial neural networkInternational Journal of Remote Sensing, 1997
- Support-vector networksMachine Learning, 1995
- Optimization of training data required for neuro-classificationInternational Journal of Remote Sensing, 1994
- Variability and bias in experimentally measured classifier error ratesPattern Recognition Letters, 1992
- Improvements to the effectiveness of supervised training proceduresInternational Journal of Remote Sensing, 1989