Fourier Based Feature Descriptors for Railroad Extraction from Aerial Images

Date

2012-12-27

Author

KARAMAN, ERSİN
Cinar, UMUT
GEDİK, Ekin
ÇETİN, YASEMİN
Halıcı, Uğur

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The aim of this study is to automatically differentiate railroads from roads obtained by a general road extraction algorithm. In high resolution aerial images, the sleepers between railroad tracks depict a distinctive texture from other elongated objects. By employing this additional cue, a new Fourier based feature descriptor is developed to distinguish railroad objects in aerial images. After local Fourier features calculation, the periodic railroad texture is locally detected in the frequency domain.

Subject Keywords

Railroad Extraction, Aerial Images, Road Extraction, Fourier Descriptors

URI

https://hdl.handle.net/11511/48336

DOI

https://doi.org/10.1109/igarss.2012.6352237

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

E. KARAMAN, U. Cinar, E. GEDİK, Y. ÇETİN, and U. Halıcı, “Fourier Based Feature Descriptors for Railroad Extraction from Aerial Images,” 2012, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/48336.