Title :
Particle filter based road detection in SAR image
Author :
Chen, Yilun ; Gu, Yuantao ; Gu, Jing ; Yang, Jian
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
Abstract :
A novel method is proposed for the detection of roads in synthetic aperture radar (SAR) images. We first claim that roads in SAR images can be extracted in a Bayesian tracking framework. Then the particle filter is employed for the tracking implementation, where local linear feature and global contextual knowledge are incorporated into the filtering procedure. The effectiveness of the proposed method is demonstrated by the experimental detection results of single road as well as road network.
Keywords :
feature extraction; object detection; particle filtering (numerical methods); radar imaging; radar tracking; roads; synthetic aperture radar; Bayesian tracking framework; SAR image; global contextual knowledge; images extraction; local linear feature; particle filter; road detection; synthetic aperture radar images; Bayesian methods; Econometrics; Monte Carlo methods; Particle filters; Particle tracking; Radar detection; Radar tracking; Roads; Statistics; Synthetic aperture radar;
Conference_Titel :
Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, 2005. MAPE 2005. IEEE International Symposium on
Print_ISBN :
0-7803-9128-4
DOI :
10.1109/MAPE.2005.1617909
