Neurocomputation in Remote Sensing Data Analysis

- Foreward
- Introduction
- 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: Accomodation 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