Artificial neural networks for land-cover classification and mapping
- 1 March 1993
- journal article
- research article
- Published by Taylor & Francis in International Journal of Geographical Information Science
- Vol. 7 (2) , 173-186
- https://doi.org/10.1080/02693799308901949
Abstract
Artificial intelligence approaches toward image processing and pattern recognition are perceived as an alternative to, and an improvement over, traditional statistically-based procedures. Of particular interest to the satellite remote sensing community are artificial neural networks. This article describes the application of such an approach to the problem of deriving land-cover information from Landsat satellite Thematic Mapper (TM) digital imagery. The techniques being developed are ones that will provide more accurate and useful data for use with geographical information systems.Keywords
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