Training Algorithm Performance for Image Classification by Neural Networks
Authors:
- 1 August 2010
- journal article
- research article
- Published by American Society for Photogrammetry and Remote Sensing in Photogrammetric Engineering & Remote Sensing
- Vol. 76 (8) , 945-951
Abstract
No abstract availableThis publication has 20 references indexed in Scilit:
- Extreme‐learning‐machine‐based land cover classificationInternational Journal of Remote Sensing, 2009
- The application of artificial neural networks to the analysis of remotely sensed dataInternational Journal of Remote Sensing, 2007
- Artificial neural networks for mapping regional‐scale upland vegetation from high spatial resolution imageryInternational Journal of Remote Sensing, 2006
- Sub-pixel mapping and sub-pixel sharpening using neural network predicted wavelet coefficientsRemote Sensing of Environment, 2004
- Strategies and best practice for neural network image classificationInternational Journal of Remote Sensing, 1997
- An evaluation of some factors affecting the accuracy of classification by an artificial neural networkInternational Journal of Remote Sensing, 1997
- Artificial neural networks for land-cover classification and mappingInternational Journal of Geographical Information Science, 1993
- Multispectral classification of Landsat-images using neural networksIEEE Transactions on Geoscience and Remote Sensing, 1992
- A review of assessing the accuracy of classifications of remotely sensed dataRemote Sensing of Environment, 1991
- Ship wake-detection procedure using conjugate gradient trained artificial neural networksIEEE Transactions on Geoscience and Remote Sensing, 1991