Artificial Neural Networks for Land-Cover Classification and Mapping

  title={Artificial Neural Networks for Land-Cover Classification and Mapping},
  author={Daniel L. Civco},
  journal={International Journal of Geographical Information Systems},
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 ofderiving land-cover information from Landsat satellite Thematic Mapper (TM) digital imagery. The techniques being developed are ones that… CONTINUE READING
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