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:
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i.
Why use neural networks in the analysis and interpretation of remote sensing data ? Do they really offer advantages ? Are they really special ?
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ii.
Classification has been the main application to date but has an impasse been reached ?
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iii.
what this book tries not to do
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iv.
Is it possible or necessary to build a “pan-European-classifier” based on a giant modular neural network ?
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v.
Is special purpose hardware needed to operationally exploit neural networks in remote sensing ?
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vi.
Should new/less common network models/architectures be explored ?
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vii.
Are there any novel applications of neural networks in remote sensing ?
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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
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