Overview
Application of neural networks in remote sensing - Combination of advanced computing techniques and operational remote sensing needs - Presentation of state of the art techniques used across Europe for remote sensing data analysis, with a considerable range of applications - Comprehensive assessment of the potential role of neural computation in the processing of data from earth observation satellites.
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Table of contents (30 papers)
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Bibliographic Information
Book Title: Neurocomputation in Remote Sensing Data Analysis
Book Subtitle: Proceedings of Concerted Action COMPARES (Connectionist Methods for Pre-Processing and Analysis of Remote Sensing Data)
Editors: Ioannis Kanellopoulos, Graeme G. Wilkinson, Fabio Roli, James Austin
DOI: https://doi.org/10.1007/978-3-642-59041-2
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin ยท Heidelberg 1997
Hardcover ISBN: 978-3-540-63316-7Published: 18 September 1997
Softcover ISBN: 978-3-642-63828-2Published: 22 December 2012
eBook ISBN: 978-3-642-59041-2Published: 06 December 2012
Edition Number: 1
Number of Pages: IX, 284
Topics: Artificial Intelligence, Economic Geology, Regional/Spatial Science, Pattern Recognition, Geography, general, Earth Sciences, general
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