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Road detection in dense urban areas using SAR imagery and the usefulness of multiple views

F. Tupin, B. Houshmandand and M. Datcu
IEEE Trans. on Geoscience and Remote Sensing
2002

Abstract

This paper deals with the automatic extraction of the road network in dense urban areas using SAR images. The first part presents the proposed method which is an adaptation of some previous work to the specific case of urban areas. The major modifications compared to this previous version are: first, the clique potentials of the Markov Random Field which extracts the road network are adapted; secondly, the analysis is made in a multi-scale framework. Results on shuttle mission and aerial SAR images with different resolutions are presented. The second part is dedicated to the use of multiple SAR images taken with different flight directions of the sensor (orthogonal and anti-parallel passes) and the obtained improvement is analyzed.


@Article{eth_biwi_00239,
  author = {F. Tupin and B. Houshmandand and M. Datcu},
  title = {Road detection in dense urban areas using SAR imagery and the usefulness of multiple views},
  journal = {IEEE Trans. on Geoscience and Remote Sensing},
  year = {2002},
  month = {},
  pages = {},
  volume = {},
  number = {},
  keywords = {road detection, SAR images, Markov Random Fields, different orientation views}
}