Title :
Ground moving target indication in SAR images based on local 2-Look similarity
Author :
Tianyi Zhan ; Junfeng Wang ; Xingzhao Liu ; Wentao Lv
Author_Institution :
Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
A new algorithm is presented to indicate the ground targets moving in azimuth in synthetic aperture radar (SAR) images. This algorithm is based on local two-Look similarity. In the two looks of the scene, a stationary target has the same positions, but a moving target has different positions. Therefore, moving targets can be indicated by the patch-by-patch similarity detection between the two looks. We use normalized correlation to characterize similarity. In the similarity detection, for each patch in the first look, only the normalized correlations with three patches in the second look are calculated, and thus this algorithm is computationally efficient.
Keywords :
object detection; radar detection; radar imaging; synthetic aperture radar; SAR imaging; ground moving target indication; local 2-look similarity; patch-by-patch similarity detection; synthetic aperture radar imaging; Azimuth; Bandwidth; Correlation; Doppler effect; Radar imaging; Synthetic aperture radar; Ground Moving Target Indication (GMTI); Normalized Correlation; Synthetic Aperture Radar (SAR); Two-Look Processing;
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.2013.6723031