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CHARACTERIZATION OF HYDROCARBON MICROSEEPAGES IN THE TUCANO BASIN,(BRAZIL) THROUGH HYPERSPECTRAL CLASSIFICATION AND NEURAL NETWORK ANALYSIS OF ADVANCED SPACEBORNE THERMAL EMISSION AND REFLECTION RADIOMETER (ASTER) DATA
Geology Detection GIS Satellite ASTER Landsat ETM Neural Network Hydrocarbon Microseepage
2015/12/29
This study focus on the characterization of hydrocarbon microseepages in the northern Tucano Basin (Bahia State, Brazil), using geostatistical analysis of regional hydrocarbon geochemical data yielded...
LANDSLIDE FEATURES INTERPRETED BY NEURAL NETWORK METHOD USING A HIGH-RESOLUTION SATELLITE IMAGE AND DIGITAL TOPOGRAPHIC DATA
Landslides Earthquakes Hazards Quickbird LIDAR Neural
2015/7/29
Landslides are natural phenomena for the dynamic balance of earth surface. Due to the frequent occurrences of Typhoons and
earthquake activities in Taiwan, mass movements are common threatens to our...
Generalized Cooccurrence Matrix to Classify IRS-1D Images using Neural Network
Neural Network, Classification, IRS-image, Feature, Multispectral, Segmentation
2015/7/29
This paper presents multispectral texture analysis for classification based on a generalized cooccurrence matrix. Statistical and
texture features have been obtained from the first order probability...
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...
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...
TRAFFIC TIME SERIES FORECASTING BY FEEDFORWARD NEURAL NETWORK: A CASE STUDY BASED ON TRAFFIC DATA OF MONROE
Traffic Neural networks Time series forecasting Intelligence Transportation System
2014/12/1
Short time prediction is one of the most important factors in intelligence transportation system (ITS). In this research, the use of feed forward neural network for traffic time-series prediction is p...
URBAN GROWTH MODELING USING AN ARTIFICIAL NEURAL NETWORK A CASE STUDY OF SANANDAJ CITY, IRAN
Urban Growth Modelling GIS ANN
2014/12/1
Land use activity is a major issue and challenge for town and country planners. Modelling and managing urban growth is a complex problem. Cities are now recognized as complex, non-linear and dynamic p...
Performance Improvement of GPS GDOP Approximation Using Recurrent Wavelet Neural Network
Rapid and Precise Calculation GPS GDOP RWNN
2013/3/5
One of the most important factors affecting the precision of the performance of a GPS receiver is the relative positioning of satellites to each other. Therefore, it is essential to choose appropriate...