Evaluation of Neural Pattern Classifiers for a Remote Sensing Application

@article{Fischer1995EvaluationON,
  title={Evaluation of Neural Pattern Classifiers for a Remote Sensing Application},
  author={M. Fischer and S. Gopal and Petra Staufer-Steinnocher and K. Steinnocher},
  journal={GeologyRN: Computational Methods in Geology (Topic)},
  year={1995}
}
This paper evaluates the classification accuracy of three neural network classifiers on a satellite image-based pattern classification problem. The neural network classifiers used include two types of the Multi-Layer-Perceptron (MLP) and the Radial Basis Function Network. A normal (conventional) classifier is used as a benchmark to evaluate the performance of neural network classifiers. The satellite image consists of 2,460 pixels selected from a section (270 x 360) of a Landsat-5 TM scene from… Expand
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