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ESTIMATION OF ATMOSPHERIC TEMPERATURE AND HUMIDITY PROFILES FROM MODIS AND RADIOSOND DATA USING ARTIFICIAL NEURAL NETWORK
Neural Network Humidity Temperature Linear Regression Radiosond
2015/12/30
The aim of this study is to test the quality of the neural network for retrieving the temperature and humidity by comparison with the radiosond values and a linear regression method. Remote sensed ima...
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...
DETECTION OF DAMAGED BUILDINGS AFTER AN EARTHQUAKE USING ARTIFICIAL NEURAL NETWORK ALGORITHM
Remote Sensing Earthquakes Detection Building High resolution Neural
2015/12/28
It is obvious that an earthquake always is counted a threat to species life. It is necessary to react both accurately and precisely to the disaster. The most damages refer to the buildings and the roa...
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...
AUTOMATIC EDDY EXTRACTION FROM SST IMAGERY USING ARTIFICIAL NEURAL NETWORK
Image Interpretation 2-D Feature Extraction Image Understanding Feature Detection Oceanography
2015/12/23
Mesoscale eddies have a significant impact on the exchange of material and energy in the ocean, and thus their knowledge are of great importance for the study of oceanic circulation. Images of sea sur...
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...
Backpropagation Neural Network for Soil Moisture Retrieval Using NAFE'05 Data: a Comparison of Different Training Algorithms
Neural Network Backpropagation Soil Moisture Airborne Algorithms Microwave
2015/12/18
The backpropagation artificial neural network (ANN) is a well-known and widely applied mathematical model for remote sensing applications for pattern recognition, approximation and mapping of non-line...
MOVING OBJECTS TRAJECTOTY PREDICTION BASED ON ARTIFICIAL NEURAL NETWORK APPROXIMATOR BY CONSIDERING INSTANTANEOUS REACTION TIME, CASE STUDY: CAR FOLLOWING
Moving Object Trajectory Artificial Neural Network Reaction Time Mean Square Error Index of Agreement Microscopic Simulation
2016/1/18
Car following models as well-known moving objects trajectory problems have been used for more than half a century in all traffic simulation software for describing driving behaviour in traffic flows. ...
USING MULTIVARIATE ADAPTIVE REGRESSION SPLINE AND ARTIFICIAL NEURAL NETWORK TO SIMULATE URBANIZATION IN MUMBAI, INDIA
Land Use Change Data Mining Multivariate Adaptive Regression Spline Artificial Neural Network Receiver Operating Characteristic
2016/1/15
Land use change (LUC) models used for modelling urban growth are different in structure and performance. Local models divide the data into separate subsets and fit distinct models on each of the subse...
Estimation of Unknown Height with Artificial Neural Network on Digital Terrain Model
Artifcial Neural Network DEM/DTM Modelling Prediction Accuracy
2015/12/8
In Digital Terrain Models (DTM) interpolation is actually a surface fitting problem. For the estimation of heights of points with known X-Y coordinates there are many interpolation methods. Besides, t...
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...
A new approach for residual gravity anomaly profile interpretations: Forced Neural Network (FNN)
Forced Neural Network gravity anomaly modeling synthetic model Gulf of Mexico
2015/9/8
This paper presents a new approach for interpretation of residual gravity anomaly profiles, assuming horizontal
cylinders as source. The new method, called Forced Neural Network (FNN), is introduced ...
GREENHOUSES DETECTION USING AN ARTIFICIAL NEURAL NETWORK WITH A VERY HIGH RESOLUTION SATELLITE IMAGE
Artificial Neural Network Very High Resolution Satellite Image Texture Analysis
2015/8/31
Detecting and locating greenhouses in south-east of Spain is very important for politicians and other persons who may take decisions
about management of natural resources and who must design agricul...
Dopamine Modulation of Two Delayed Rectifier Potassium Currents in a Small Neural Network
Potassium Currents Small Neural Network
2015/8/25
Gruhn, Matthias, John Guckenheimer, Bruce Land, and Ronald
M. Harris-Warrick. Dopamine modulation of two delayed rectifier potassium
currents in a small neural network. J Neurophysiol 94: 2888–2900,...