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Using textural and geometric information for an automatic bridge detection system

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Academic year: 2021

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Figure

Fig. 1. Some sample bridge images
Fig. 2. Processing steps for textural approach
Fig. 3. Sample neural network output; top: source images, bottom: network output (darker pixels represent stronger responses); from left to right, bridge, railroad, road, vegetation and water neural network output channels for each image on the top row
Fig. 7. Bridge detection by extraction of parallel edges; top: source images;
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