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Using artificial neural network a synthetical image derived from light and ranging data was segmented based on the height texture and intensity texture measure. Focusing on a coastal area near ZhuHai...
The present study examines the role of spatial metrics in the performance of a previously developed ANN model for predicting land use/cover changes. The model outputs are validated against a land-use ...
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...
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...
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...
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...
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. ...
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...
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...
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...
For water color remote sensing study of inland water body, terrestrial satellite is often a good data source, because it has high spatial resolution. However, the precision of water color remote sens...
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...
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...
Today, air pollutant is a big challenge for busy and big cities due to its direct effect on both human health and the environment. Tehran, as the capital city of Iran, concludes 12 million people and ...
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...

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