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AN INTEGRATION OF WAVELET ANALYSIS AND NEURAL NETWORKS IN SYNTHETIC APERTURE RADAR IMAGE CLASSIFICATION
Image Classification Wavelet Analysis Neural Networks Texture and Structural Characteristics SAR
2015/6/1
In this paper, the concepts of wavelet analysis and neural networks are applied to the classification of shuttle imaging radar experiment C (SIR-C) synthetic aperture radar (SAR) data from a location ...
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...
ARTIFICIAL NEURAL NETWORKS FOR THE DETECTION OF ROAD JUNCTIONS IN AERIAL IMAGES
object recognition road junctions artificial neural networks
2015/5/18
Road junctions are important objects for traffic related tasks, vehicle navigation systems, but also have a major role in topographic
mapping. The paper describes an approach of automatic junction de...
ON-BOARD CHANGE DETECTION WITH NEURAL NETWORKS
Change Detection Neural Networks Classification Edge
2015/5/12
The aim of this paper is to describe a potential on-board change detection chain by earth observation satellites (optical and SAR).
The benefits of such an on-board chain are multiple : reduction of ...
INVERSION OF THREE LAYERS MULTI-SCALE SPM MODEL BASED ON NEURAL NETWORK TECHNIQUE FOR THE RETRIEVAL OF SOIL MULTI-SCALE ROUGHNESS AND MOISTURE PARAMETERS
Backscattering multi-scale multilayer
2015/5/7
In this paper, a multi-layered multi-scale backscattering model for a lossy medium and a neural network inversion procedure has been presented.We have used a bi-dimensional multi-scale (2D MLS) roug...
JUNCTION EXTRACTION BY ARTIFICIAL NEURAL NETWORK SYSTEM – JEANS
Artificial Neural Networks Automatic Object Extraction
2015/3/24
The paper presents a road junction operator, which was developed for medium resolution black-and-white
orthoimages. The operator uses a feed-forward neural network applied for a running window to de...
URBAN SIMULATION USING NEURAL NETWORKS AND CELLULAR AUTOMATA FOR LAND USE PLANNING
URBAN SIMULATION NEURAL NETWORKS CELLULAR AUTOMATA LAND USE PLANNING
2015/3/16
URBAN SIMULATION USING NEURAL NETWORKS AND CELLULAR AUTOMATA FOR LAND USE PLANNING.
Modelling nitrate concentration of groundwater using adaptive neural-based fuzzy inference system
Adaptive Neural-Based Fuzzy Inference System nitrate pollution water quality parameters
2015/3/5
High nitrate concentration in groundwater is a major problem in agricultural areas in Iran. Nitrate pollution in groundwater of the particular regions in Isfahan province of Iran has been investigated...
The composition of the output layer architecture in a Back-Propagation (BP) neural network for remote sensing image classification
Neural Network Remote Sensing Classification Output Layer Architecture
2015/2/5
A Neural Network is treated as a data transformer when used for mapping purposes. The objective in this case, is to
associate the elements in one set of data with the elements in a second set. Accord...
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 ...
RECTIFICATION OF REMOTELY SENSED IMAGES WITH ARTIFICIAL NEURAL NETWORK
Satellite Data Rectification Artificial Neural Network Accuracy
2015/2/4
Raw digital images can not be used as maps because they contain geometric distortions which stem from the image
acquisition process. To supply the same geometric integrity as a map, original raw imag...
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.
IMAGE CLASSIFICATION BY SPATIAL SHIFT INVARIANT NEURAL NETWORK
Classification Neural Network Land use Land cover
2015/2/3
I proposed the new method to classify images using artificial neural network technology imitating bio-neural network
behind retina and in visual cortex, in order to use spatial information like huma...
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...
COMPUTER AIDED DIAGNOSIS FOR PNEUMOCONIOSIS RADIOGRAPHS’ USING NEURAL NETWORK
X-ray photo Pneumoconiosis Neural Network
2015/1/6
Computer aided diagnosis for pneumoconiosis using neural network is presented. The rounded opacities in the pneumoconiosis X-ray photo are picked up by a back propagation (BP) – neural network with se...