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Titlebook: Neurocomputation in Remote Sensing Data Analysis; Proceedings of Conce Ioannis Kanellopoulos,Graeme G. Wilkinson (Head),J Conference procee

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Using Artificial Recurrent Neural Nets to Identify Spectral and Spatial Patterns for Satellite Imagn the resultant image, and automatically classifies it into land use classes. Both classifiers are implemented on artificial recurrent neural networks inspired by Carpenter and Grossberg’s adaptive resonance theory (ART).
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Dynamic Segmentation of Satellite Images Using Pulsed Coupled Neural Networks,time. Using the pulsed time-of-arrival as the information carrier, the image is reduced to a time signal which allows an intelligent filtering using feedback. A multi-layer implementation of the model is presented that shows good segmentation results and is easily adaptable to multispectral imagery.
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Testing some Connectionist Approaches for Thematic Mapping of Rural Areas,were mapped and the performances compared, by means of confusion matrices and also by the computing time used, with a typical parametric approach such as the classical Maximum Likelihood Classifier and with field work interpretation.
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S. Danaher,G. Herries,T. Selige,M. Mac Súirtánerviews und verstehendem Nachvollziehen von damals stattgefundenen Kommunikationsprozessen besteht. Der Nachteil, daß frühe Phasen des Planungsprozesses nicht aus unmittelbarer Erfahrung beschrieben werden können, wird aber aufgewogen durch den Vorteil, aus der Warte des Beobachters, aus der quasi „
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