Tracking Road Centerlines from Remotely Sensed Imagery Using Mean Shift and Kalman Filtering

Tracking Road Centerlines from Remotely Sensed Imagery Using Mean Shift and Kalman Filtering

Road tracking based on template matching is one class of practical methods of road extraction. However, the conventional methods of template matching mainly utilize correlation coefficient as the similarity measure. As a result, these algorithms are sensitive to occlusions caused by vehicles and tre...

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Bibliographic Details
Main Authors: CAO Fanzhi, ZHU Shulong, ZHU Baoshan, LI Runsheng, MENG Weican
Format: Article
Language:zho
Published: Surveying and Mapping Press 2016-02-01
Series:Acta Geodaetica et Cartographica Sinica
Subjects:
high-resolution remotely sensed imagery
road extraction
road centerline tracking
template matching
mean shift
Kalman filter
Online Access:http://html.rhhz.net/CHXB/html/2016-2-205.htm

Internet

http://html.rhhz.net/CHXB/html/2016-2-205.htm

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