A comparison of spatial feature extraction algorithms for land-use classification with SPOT HRV data
- 14 April 2003
- journal article
- Published by Elsevier
- Vol. 40 (2) , 137-151
- https://doi.org/10.1016/0034-4257(92)90011-8
Abstract
No abstract availableKeywords
This publication has 13 references indexed in Scilit:
- Evaluation Of The Grey-level Co-occurrence Matrix Method For Land-cover Classification Using Spot ImageryIEEE Transactions on Geoscience and Remote Sensing, 1990
- Performance analyses of probabilistic relaxation methods for land-cover classification☆Remote Sensing of Environment, 1989
- Multispectral Classification of Land Use at the Rural-Urban Fringe Using Spot DataCanadian Journal of Remote Sensing, 1988
- Some experiments with spatial feature extraction methods in multispectral classificationInternational Journal of Remote Sensing, 1984
- A Theoretical Comparison of Texture AlgorithmsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1980
- The development of a spectral-spatial classifier for earth observational dataPattern Recognition, 1980
- Classification of Multispectral Image Data by Extraction and Classification of Homogeneous ObjectsIEEE Transactions on Geoscience Electronics, 1976
- Textural Features for Image ClassificationIEEE Transactions on Systems, Man, and Cybernetics, 1973
- Large sample standard errors of kappa and weighted kappa.Psychological Bulletin, 1969
- A Coefficient of Agreement for Nominal ScalesEducational and Psychological Measurement, 1960