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Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Detection of Railroad Networks in SAR Images
Digital Object Identifier (DOI) : 10.14569/IJACSA.2018.090918
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 9, 2018.
Abstract: In this study, a railroad networks detection method for synthetic aperture radar (SAR) images is proposed. Proposed method consists of three steps. Firstly, railroad segments are detected. An existing line detector is modified by describing some rules for this process. Then segments are connected by utilizing perceptual grouping. Finally, a new line analysis algorithm is applied to determine real parts of railroad networks. A software is developed to achieve and evaluate proposed method. Completeness and correctness values which are obtained after different steps are computed to evaluate proposed method. Two different TerraSAR-X images are used in experiments and obtained results are discussed in detail.
Keywords: Remote sensing; synthetic aperture radar; railroad networks detection; perceptual grouping
Safak Altay Açar and Safak Bayir, “Detection of Railroad Networks in SAR Images” International Journal of Advanced Computer Science and Applications(IJACSA), 9(9), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090918
@article{Açar2018,
title = {Detection of Railroad Networks in SAR Images},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090918},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090918},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {9},
author = {Safak Altay Açar and Safak Bayir}
}
