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The artificial neural networks are nice tools in the thematic mapping. The classification procedure requires carefully prepared training set. The research was aimed to show the effect of the generally...
Object recognition has been the focus of much research in the photogrammetric and image processing communities. The goal of this research is often the quantitative three-dimensional measurement of obj...
This paper presents classification results using neural networks based on INSAR coherence imagery data for evaluation of the damage of Kobe earthquake in 1995. Coherence derived from multi-temporal SA...
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 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...
Land-cover Classification in Remote-Sensing Images Using Structures Neural Networks

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