دانلود کتاب 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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Front Matter....Pages i-ix
Introduction....Pages 1-2
Open Questions in Neurocomputing for Earth Observation....Pages 3-13
A Comparison of the Characterisation of Agricultural Land Using Singular Value Decomposition and Neural Networks....Pages 14-27
Land Cover Mapping from Remotely Sensed Data with a Neural Network: Accommodating Fuzziness....Pages 28-37
Geological Mapping Using Multi-Sensor Data: A Comparison of Methods....Pages 38-46
Application of Neural Networks and Order Statistics Filters to Speckle Noise Reduction in Remote Sensing Imaging....Pages 47-56
Neural Nets and Multichannel Image Processing Applications....Pages 57-70
Neural Networks for Classification of Ice Type Concentration from ERS-1 SAR Images....Pages 71-78
A Neural Network Approach to Spectral Mixture Analysis....Pages 79-85
Comparison Between Systems of Image Interpretation....Pages 86-96
Feature Extraction for Neural Network Classifiers....Pages 97-104
Spectral Pattern Recognition by a Two-Layer Perceptron: Effects of Training Set Size....Pages 105-116
Comparison and Combination of Statistical and Neural Network Algorithms for Remote-Sensing Image Classification....Pages 117-124
Integrating the Alisa Classifier with Knowledge-Based Methods for Cadastral-Map Interpretation....Pages 125-133
A Hybrid Method for Preprocessing and Classification of SPOT Images....Pages 134-141
Testing some Connectionist Approaches for Thematic Mapping of Rural Areas....Pages 142-150
Using Artificial Recurrent Neural Nets to Identify Spectral and Spatial Patterns for Satellite Imagery Classification of Urban Areas....Pages 151-159
Dynamic Segmentation of Satellite Images Using Pulsed Coupled Neural Networks....Pages 160-167
Non-Linear Diffusion as a Neuron-Like Paradigm for Low-Level Vision....Pages 168-175
Application of the Constructive Mikado-Algorithm on Remotely Sensed Data....Pages 176-185
A Simple Neural Network Contextual Classifier....Pages 186-193
Optimising Neural Networks for Land Use Classification....Pages 194-201
High Speed Image Segmentation Using a Binary Neural Network....Pages 202-213
Efficient Processing and Analysis of Images Using Neural Networks....Pages 214-223
Selection of the Number of Clusters in Remote Sensing Images by Means of Neural Networks....Pages 224-231
A Comparative Study of Topological Feature Maps Versus Conventional Clustering for (Multi-Spectral) Scene Identification in METEOSAT Imagery....Pages 232-241
Self Organised Maps: the Combined Utilisation of Feature and Novelty Detectors....Pages 242-254
Generalisation of Neural Network Based Segmentation Results for Classification Purposes....Pages 255-261
Remote Sensing Applications Which may be Addressed by Neural Networks Using Parallel Processing Technology....Pages 262-279
General Discussion....Pages 281-284