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OIL SPILL DETECTION USING RBF NEURAL NETWORKS AND SAR DATA     Neural  Networks  SAR  Environment  Pollution  Sea  Extraction  Detection       font style='font-size:12px;'> 2015/7/29
Illegal oil spill discharges cause serious damage to marine ecosystems. Synthetic Aperture Radar (SAR) images are extensively used for the detection of oil spills in the marine environment, as they ...
The second suspension bridge connecting the continents Asia and Europe, namely, Fatih Sultan Mehmet Bridge, has been monitored by using GPS technique. For this end permanent GPS observations with 0....
In surveying missions the volume and the weight of the surveying equipment are often a problem. In a previous work, the A. proposed what he called blind traverse for control network assessment in clo...
A Digital Surface Model (DSM) generated by automatic stereo matching of convergent image networks includes a great number of 3D-points that come from diverse combinations of stereo-pairs. This points...
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...
Automatic change detection and data updating is a very important issue for keeping the temporal accuracy and currency of spatial data sets. Road networks are one of the most important parts of geograp...
In this article, the possibility of using artificial neural networks for road detection from high resolution satellite images is tested on a part of RGB Ikonos and Quick-Bird images from Kish Island...
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 ...
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...
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...
Analysis of remotely-sensed and hyperspectral data has significant potential application in the areas of planning of, and better decision support for, transportation networks. With increased demand ...
ON-BOARD CHANGE DETECTION WITH NEURAL NETWORKS     Change Detection  Neural  Networks  Classification  Edge       font style='font-size:12px;'> 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 ...
SCHEMATIC NETWORKS: AN ALGORITHM AND ITS IMPLEMENTATION     ALGORITHM  IMPLEMENTATION       font style='font-size:12px;'> 2015/3/17
SCHEMATIC NETWORKS: AN ALGORITHM AND ITS IMPLEMENTATION.
URBAN SIMULATION USING NEURAL NETWORKS AND CELLULAR AUTOMATA FOR LAND USE PLANNING.
EXTRACTION AND UPDATE OF STREET NETWORKS IN URBAN AREAS FROM HIGH RESOLUTION SATELLITE IMAGES.

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