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HYPERSPECTRAL IMAGES FOR UNCERTAINTY INFORMATION INTERPRETATION BASED ON FUZZY CLUSTERING AND NEURAL NETWORK
Uncertainty Information Fuzzy Clustering Feature Recognition Hyperspectral Understanding Neural Network
2015/12/23
Effective and understanding exploration of hyperspectral remote sensing data necessitates the development of sophisticated schemes that represent images. Such schemes ideally preserve and recognize si...
EXPERIMENTAL STUDY OF ARTIFICIAL NEURAL NETWORK FOR GEOMETRIC RECTIFICATION OF SATELLITE IMAGERY
Geometric Rectification BPNN RBFNN CEM GA Whiskbroom Accuracy
2015/12/23
In this paper, series of experimental studies about the neural network model for whiskbroom remote sensing imagery geometry correction methods based on BPNN (Back-Propagation Neural Networks) and RBFN...
A Neural Network Algorithm for Vectorization of 2D Maps
Spatial Information Sciences Analysis Artificial_Intelligence Accuracy CAD
2015/12/2
In the last twenty-five years a great number of vectorization methods were developed. In this paper we first give an overview about the most known methods, and then propose a vectorization algorithm b...
APPROACH OF THE HUNGARIAN GEOID SURFACE WITH SEQUENCE OF NEURAL NETWORKS
Neural Artificial Intelligence Surface Data Mining Geodesy
2015/5/27
For global data representation, like the approximation of a surface, algebraic or trigonometric polynomials may be used. However, polynomial approaches are limited concerning their accuracy. In the la...
Comparison of a back propagation and a self organizing map neural networks in classification of TM images
Thematic Classification Neural Network Back Propagation Self Organizing Maps Landsat TM
2015/2/5
In this paper we report the results of an experimental analysis on the use of two neural models for the thematic
classification of multispectral remotely sensed data. A Back Propagation network with ...
DISCRIMINATION ABILITY OF NEURAL NETWORK AND MAXIMUM LIKELIHOOD CLASSIFIERS
Ability neural network classifier
2015/2/3
DISCRIMINATION ABILITY OF NEURAL NETWORK AND MAXIMUM LIKELIHOOD CLASSIFIERS.
THE IMPACT OF DATA COMPRESSION AND NEIGHBORHOOD INFORMATION ON THE CLASSIFICATION ACCURACY OF ARTIFICIAL NEURAL NETWORKS
Neural Networks Thematic Classification Principal Component Analysis
2015/2/3
The artificial neural networks are nice tools in the thematic mapping. The classification procedure requires carefully prepared training set. The research was aimed to show the effect of the generally...