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  • Produktbild: Neurocomputation in Remote Sensing Data Analysis
  • Produktbild: Neurocomputation in Remote Sensing Data Analysis

Neurocomputation in Remote Sensing Data Analysis Proceedings of Concerted Action COMPARES (Connectionist Methods for Pre-Processing and Analysis of Remote Sensing Data)

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

22.12.2012

Abbildungen

IX, 284 p.

Herausgeber

Ioannis Kanellopoulos + weitere

Verlag

Springer Berlin

Seitenzahl

284

Maße (L/B/H)

23,5/15,5/1,7 cm

Gewicht

458 g

Auflage

Softcover reprint of the original 1st ed. 1997

Sprache

Englisch

ISBN

978-3-642-63828-2

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

22.12.2012

Abbildungen

IX, 284 p.

Herausgeber

Verlag

Springer Berlin

Seitenzahl

284

Maße (L/B/H)

23,5/15,5/1,7 cm

Gewicht

458 g

Auflage

Softcover reprint of the original 1st ed. 1997

Sprache

Englisch

ISBN

978-3-642-63828-2

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Neurocomputation in Remote Sensing Data Analysis
  • Produktbild: Neurocomputation in Remote Sensing Data Analysis
  • Open Questions in Neurocomputing for Earth Observation.- A Comparison of the Characterisation of Agricultural Land Using Singular Value Decomposition and Neural Networks.- Land Cover Mapping from Remotely Sensed Data with a Neural Network: Accommodating Fuzziness.- Geological Mapping Using Multi-Sensor Data: A Comparison of Methods.- Application of Neural Networks and Order Statistics Filters to Speckle Noise Reduction in Remote Sensing Imaging.- Neural Nets and Multichannel Image Processing Applications.- Neural Networks for Classification of Ice Type Concentration from ERS-1 SAR Images. Classical Methods versus Neural Networks.- A Neural Network Approach to Spectral Mixture Analysis.- Comparison Between Systems of Image Interpretation.- Feature Extraction for Neural Network Classifiers.- Spectral Pattern Recognition by a Two-Layer Perceptron: Effects of Training Set Size.- Comparison and Combination of Statistical and Neural Network Algorithms for Remote-Sensing Image Classification.- Integrating the Alisa Classifier with Knowledge-Based Methods for Cadastral-Map Interpretation.- A Hybrid Method for Preprocessing and Classification of SPOT Images.- Testing some Connectionist Approaches for Thematic Mapping of Rural Areas.- Using Artificial Recurrent Neural Nets to Identify Spectral and Spatial Patterns for Satellite Imagery Classification of Urban Areas.- Dynamic Segmentation of Satellite Images Using Pulsed Coupled Neural Networks.- Non-Linear Diffusion as a Neuron-Like Paradigm for Low-Level Vision.- Application of the Constructive Mikado-Algorithm on Remotely Sensed Data.- A Simple Neural Network Contextual Classifier.- Optimising Neural Networks for Land Use Classification.- High Speed Image Segmentation Using a Binary Neural Network.- Efficient Processing and Analysis of Images Using Neural Networks.- Selection of the Number of Clusters in Remote Sensing Images by Means of Neural Networks.- A Comparative Study of Topological Feature Maps Versus Conventional Clustering for (Multi-Spectral) Scene Identification in METEOSAT Imagery.- Seif Organised Maps: the Combined Utilisation of Feature and Novelty Detectors.- Generalisation of Neural Network Based Segmentation Results for Classification Purposes.- Remote Sensing Applications Which may be Addressed by Neural Networks Using Parallel Processing Technology.- General Discussion.