Title :
Detection of power transmission tower from SAR image based on the fusion method of CFAR and EF feature
Author :
Ping Zhang ; Zhen Li ; Quan Chen
Author_Institution :
Center for Earth Obs. & Digital Earth, Beijing, China
Abstract :
A technique combined CFAR and EF detection method is presented to improve the power transmission tower detection in synthetic aperture radar (SAR) image. CFAR can detect power transmission tower as the point like targets used the intensity information. EF features is sensitive to target geometric feature, which can consider the shape of power transmission tower. The paper takes advantage of intensity information and geometric feature of targets to detect the power transmission tower, which has the regular shape. The test results using real SAR images show good performance in multitarget situation and heterogeneous environment.
Keywords :
geophysical image processing; image recognition; poles and towers; remote sensing by radar; synthetic aperture radar; CFAR feature; EF feature; SAR image; fusion method; power transmission tower detection; synthetic aperture radar; target geometric feature; Detectors; Feature extraction; Object detection; Poles and towers; Shape; Synthetic aperture radar; CFAR; EF; Synthetic Aperture Radar (SAR); target detection;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4799-1114-1
DOI :
10.1109/IGARSS.2013.6723714
