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Abstract

The participants to the COMPARES workshop were asked to consider and reflect upon a set of key questions which relate to the future use of neurocomputing in remote sensing. These questions were as follows:

  1. i.

    Why use neural networks in the analysis and interpretation of remote sensing data ? Do they really offer advantages ? Are they really special ?

  2. ii.

    Classification has been the main application to date but has an impasse been reached ?

  3. iii.

    what this book tries not to do

  4. iv.

    Is it possible or necessary to build a “pan-European-classifier” based on a giant modular neural network ?

  5. v.

    Is special purpose hardware needed to operationally exploit neural networks in remote sensing ?

  6. vi.

    Should new/less common network models/architectures be explored ?

  7. vii.

    Are there any novel applications of neural networks in remote sensing ?

  8. viii.

    What future level of investment on R&D on neural networks in remote sensing is justified ?

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© 1997 Springer-Verlag Berlin Heidelberg

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Wilkinson, G.G. (1997). General Discussion. In: Kanellopoulos, I., Wilkinson, G.G., Roli, F., Austin, J. (eds) Neurocomputation in Remote Sensing Data Analysis. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-59041-2_30

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  • DOI: https://doi.org/10.1007/978-3-642-59041-2_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-63828-2

  • Online ISBN: 978-3-642-59041-2

  • eBook Packages: Springer Book Archive

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