Detection of railroad networks in SAR images
Küçük Resim Yok
Tarih
2018
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Science and Information Organization
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
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. © 2018 International Journal of Advanced Computer Science and Applications.
Açıklama
Anahtar Kelimeler
Perceptual grouping, Railroad networks detection, Remote sensing, Synthetic aperture radar
Kaynak
International Journal of Advanced Computer Science and Applications
WoS Q Değeri
Scopus Q Değeri
Q3
Cilt
9
Sayı
9
