Detection of Railroad Networks in SAR Images

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...

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Bibliographic Details
Published in:International journal of advanced computer science & applications 2018, Vol.9 (9)
Main Authors: Açar, Safak Altay, Bayir, Safak
Format: Article
Language:English
Subjects:
Algorithms
Computer engineering
Computer science
Experiments
Networks
Radar imaging
Rail transportation
Railroads
Remote sensing
Roads & highways
Satellites
Segments
Sensors
Synthetic aperture radar
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Description
Summary: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.
ISSN:2158-107X
2156-5570
DOI:10.14569/IJACSA.2018.090918