Improving Road Network Extraction in High Resolution Sar Images by Data Fusion
نویسنده
چکیده
In this paper, the problem of the detection of road networks in high resolution Synthetic Aperture Radar (SAR) images is addressed. Our method, which is an improvement of previous work based on line extraction and connection with Markov random field, is dedicated to dense urban areas. The major modifications are, first, the introduction of a classification in order to improve both the level of confidence and the number of extracted roads and, secondly, a multi-scale process in order to take into account all the possible widths of roads. Two examples on real data prove the improvement brought by this two adding and the accuracy of the road detection.
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