Title :
Road extraction and its application in moving target detecion in SAR images
Author :
Fei, Gao ; Bona, Chen ; Rui, Zhou ; Jinping, Sun
Author_Institution :
Sch. of Electron. & Inf. Eng., Beihang Univ., Beijing, China
Abstract :
This paper discusses a moving target detection method based on road extraction in SAR images. Firstly road pixels are initially extracted by fuzzy C mean (FCM) clustering. Then the image is divided into sub-block and the Hough transform is used to extract the segment candidates in each block. Combining the proximity, the con-linearity and the membership of the segment candidates, the reasonable roads are preserved and false roads are removed. Integration of a priori information on road traffic network, making use of binary statistical hypothesis testing and change detection method, moving target detection performance in SAR images is improved. Simulation results demonstrate the effectiveness of the method.
Keywords :
Hough transforms; feature extraction; fuzzy set theory; object detection; pattern clustering; radar imaging; statistical testing; synthetic aperture radar; Hough transform; SAR images; binary statistical hypothesis testing; change detection method; fuzzy C mean clustering; moving target detection; road extraction; road pixels; road traffic network; Azimuth; Data mining; Image segmentation; Object detection; Radar detection; Roads; Sun; Synthetic aperture radar; Telecommunication traffic; Traffic control; Change detection; Fuzzy C Mean; Moving Target Detection; Road detection; Synthetic Aperture Radar;
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7737-1
DOI :
10.1109/MACE.2010.5536499