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A New Approach for Satellite Image Analysis by Means of a Semantic Network
Two Level Image Interpretation Based on Markov Random Fields
Cartographic Displacement Using the Snakes Concept
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3D building aerial images aggregation algorithm application approach aspects ATKIS attributes Automatic Extraction Bayes Bayesian network Birkhauser Verlag building extraction building hypotheses classification Computer Vision concept constraints context regions context sketches corner corresponding data set DB road sections defined density described detection displacement domain edge line example feature extraction Figure Forstner function Geographical Information Systems geometric Gibbs distribution given graph greedy algorithm IEEE image analysis image interpretation image processing Images and Maps instance instantiated integration knowledge base labels layer Man-Made Objects Markov random fields matching method nodes object classes operations p-graph parameter vectors Peak Photogrammetry pixels polygon procedural knowledge propagated random variables recognition reconstruction relations Remote Sensing represented resolution road extraction road model road network road side road-parts road-segments satellite image scale scene description semantic model semantic network sensor spatial structure techniques texture topographic objects types values verification