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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...
Application of Neural Networks, Image Processing and Cad-Based Environments Facilities in Automatic Road Extraction and Vectorization from High Resolution Satellite Images
Automatic CAD Image processing High resolution images Neural networks Road extraction Vectorization
2015/12/9
In this article a new procedure that was designed to extract road centerline from high resolution satellite images, is presented. The results (road Networks) are fully structured in vector formed in C...
Multi-Image Matching Using Neural Networks and Photogrammetric Conditions
Image matching Neural networks coplanarity condition collinearity condition correlation
2015/12/4
Automatic determination of three dimensional information from digital images is a fundamental problem in digital photogrammetry and computer vision. The hardest part of the problem is finding conjugat...
ARTIFICIAL NEURAL NETWORKS AS A TOOL FOR SITE SELECTION WITHIN GIS
Artificial Neural Networks Decision-Making Site Selection Fuzzy Logic FuzzyCell GIS
2015/9/28
To obtain more flexibility and more effective capability of handling and processing imprecise information about the real world, fuzzy set theory is introduced into GIS. FuzzyCell is a system designed ...
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...
Classification of Multi-spectral, Multi-temporal And Multi-sensor Images Using Principal Components Analysis and Artificial Neural Networks: Beykoz Case
Land Cover Classification Artificial Neural Networks
2015/7/9
The thematic maps derived from remotely-sensed images are invaluable sources of information for various investigations since they
provide spatial and temporal information about the nature of Earth su...
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...
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...
NEURAL FUZZY NETWORK-SUPPORTED GENERATION OF LINGUISTIC KNOWLEDGE FOR UNDERSTANDING OF SPATIAL DECISION MAKING
Linguistic knowledge Neural fuzzy network Uncertainty GIS Spatial decision making.
2014/12/31
This paper discusses the understanding of linguistic knowledge based on two aspects: importance and uncertainty for which people use linguistic knowledge to simulate the process of spatial decision ma...
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...
Spatial predictive mapping using artificial neural networks
Artificial Neural Network Geodata Analysis Modelling GIS Geo-hazard Mineral Deposits Slope Stability Forest Pests advangeo
2014/11/28
The modelling or prediction of complex geospatial phenomena (like formation of geo-hazards) is one of the most important tasks for geoscientists. But in practice it faces various difficulties, caused ...
Road and Tunnel Extraction from SPOT Satellite Images Using Neural Networks
Neural Networks Road Classification Texture
2013/3/5
Road extraction from the satellite images can be used in producing road maps as well as managing and developing geospatial databases. In this work, the extraction of roads from SPOT satellite images u...