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Efficient Algorithm for Railway Tracks Detection Using Satellite Imagery
Author(s) -
Ali Javed,
Khuram Ashfaq Qazi,
Muazzam Maqsood,
Khurram Ali Shah
Publication year - 2012
Publication title -
international journal of image graphics and signal processing
Language(s) - English
Resource type - Journals
eISSN - 2074-9082
pISSN - 2074-9074
DOI - 10.5815/ijigsp.2012.11.05
Subject(s) - track (disk drive) , schedule , satellite , satellite imagery , computer science , satellite image , quality (philosophy) , remote sensing , geography , engineering , aerospace engineering , philosophy , epistemology , operating system
Satellite imagery can produce maps including roads, railway tracks, buildings, bridges, oceans, lakes, rivers, etc. In developed countries like USA, Canada, Australia, Europe, images produced by Google map are of high resolution and good quality. On the other hand, mostly images of the third world countries like Pakistan, Asian and African countries are of poor quality and not clearly visible. Similarly railway tracks of these countries are hardly visible in Google map. We have developed an efficient algorithm for railway track detection from a low quality image of Google map. This would lead to detect damaged railway track, railway crossings and help to schedule/divert locomotive movements in order to avoid catastrophe.

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