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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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Research Article | Open Access |

Detection of Railroad Networks in SAR Images

Author 1: Safak Altay Açar Author 2: Safak Bayir
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 9, No. 9 · Published 2018

DOI: https://doi.org/10.14569/IJACSA.2018.090918

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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

How to Cite this Article

Açar, S. A., & Bayir, S. (2018). Detection of Railroad Networks in SAR Images. International Journal of Advanced Computer Science and Applications, 9(9). https://doi.org/10.14569/IJACSA.2018.090918

Açar, Safak Altay, and Safak Bayir. "Detection of Railroad Networks in SAR Images." International Journal of Advanced Computer Science and Applications, vol. 9, no. 9, 2018, https://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},
  volume    = {9},
  number    = {9},
  year      = {2018},
  publisher = {The Science and Information Organization},
  author    = {Safak Altay Açar and Safak Bayir},
  doi       = {10.14569/IJACSA.2018.090918},
  url       = {https://doi.org/10.14569/IJACSA.2018.090918}
}

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