A Neural Network Method for Mixture Estimation for Vegetation Mapping

@inproceedings{Carpenter1999ANN,
  title={A Neural Network Method for Mixture Estimation for Vegetation Mapping},
  author={Gail A. Carpenter and Sucharita Gopal and Scott A. Macomber and Siegfried Martens and Curtis E. Woodcock},
  year={1999}
}
estimate mixtures of vegetation types within forest stands. Fundamental to remote sensing methodology is the fact Included in the study are maximum likelihood classificathat sensor readings are integrated over a given area, or tion and linear mixture models as well as a new methodpixel. However, limits on the implied hypothesis of landology based on the ARTMAP neural network. Two parascape uniformity within a pixel have long been observed. digms are considered: classification methods, which One… CONTINUE READING
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