The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Detection of linear features in SAR images: application to road network extraction
Abstract
The authors propose a two-step algorithm for almost unsupervised detection of linear structures, in particular, main axes in road networks, as seen in synthetic aperture radar (SAR) images. The first step is local and is used to extract linear features from the speckle radar image, which are treated as road-segment candidates. The authors present two local line detectors as well as a method for fusing information from these detectors. In the second global step, they identify the real roads among the segment candidates by defining a Markov random field (MRF) on a set of segments, which introduces contextual knowledge about the shape of road objects. The influence of the parameters on the road detection is studied and results are presented for various real radar images.
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Citations
Cites
A Computational Approach to Edge Detection
Canny, J. (1986) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.1986.4767851 · Cited by 30,004
Cited by
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Püspöki, Z., Storath, M., Sage, D., & Unser, M. (2016) · Advances in Anatomy, Embryology and Cell Biology · doi:10.1007/978-3-319-28549-8_3 · Cited by 522
Road Network Extraction and Intersection Detection From Aerial Images by Tracking Road Footprints
Hu, J., Razdan, A., Femiani, J. C., Cui, M., & Wonka, P. (2007) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2007.906107 · Cited by 317
A review of road extraction from remote sensing images
Wang, W., Yang, N., Zhang, Y., Wang, F., Cao, T., & Eklund, P. (2016) · Journal of Traffic and Transportation Engineering (English Edition) · doi:10.1016/j.jtte.2016.05.005 · Cited by 299
Mangin, J.-F., Fillard, P., Cointepas, Y., Le Bihan, D., Frouin, V., & Poupon, C. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.009 · Cited by 121
Self-citationA Review of Keypoints’ Detection and Feature Description in Image Registration
Liu, C., Xu, J., & Wang, F. (2021) · Scientific Programming · doi:10.1155/2021/8509164 · Cited by 47
Metadata
- Authors
- Tupin, F., Maitre, H., Mangin, J.-F., Nicolas, J.-M., & Pechersky, E.
- Venue
- IEEE Transactions on Geoscience and Remote Sensing
- Published
- 1998-03
- Volume
- 36
- Issue
- 2
- Pages
- 434-453
- ISSN
- 0196-2892 (ISSN-L)
- OpenAlex
- W2144572173
- Cited by
- 428
- References
- 1
- FWCI
- 26.48
- Type
- journal article
- Language
- en
- Open access
- closed
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- Tupin, F., Maitre, H., Mangin, J.-F., Nicolas, J.-M., & Pechersky, E. (1998). Detection of linear features in SAR images: application to road network extraction. IEEE Transactions on Geoscience and Remote Sensing. https://doi.org/10.1109/36.662728
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
