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In this study, an automatic and rule based approach which extracts bridges over water in satellite images is developed. To find the bridges in the image, possible water regions are first found using thresholding and clustering methods. Candidate bridge regions are then extracted by applying morphological operations to the water mask. Also the algorithm proposes an optional verification step that uses geometric constraints and orientation information to increase precision values. The proposed algorithm is tested on different satellite images and the quantitative and visual results that were obtained showed that the algorithm is effective on extracting bridges of different sizes. [ABSTRACT FROM PUBLISHER]

The aim of this study is to develop an automatic road extraction algorithm for satellite images. In the road network extraction algorithm, edge detection, segmentation analysis, clustering, vegetation analysis is used. Morphological operations are used in post-processing. Quantitative and visually presented results show that the proposed method is effective for main-road extraction. [ABSTRACT FROM PUBLISHER]