Title : 
Ground moving target indication for single SAR imagery based on sparse representation
         
        
            Author : 
Hongyin Shi ; Xinyue Zhao
         
        
            Author_Institution : 
Sch. of Inf. Sci. & Eng., Yanshan Univ., Qinhuangdao, China
         
        
        
        
        
        
            Abstract : 
A new ground moving target indication method for single synthetic aperture radar (SAR) image is presented, it is based on sparse representation. According to the Range Doppler imaging of static scene, a ground moving target imaging model is achieved. Based on the model, the over-complete dictionary of targets sample images with different speeds is constructed. Then the test SAR images are blocked into sub-images and the corresponding coefficients are calculated depend on the dictionary. There is a significant difference between the coefficients of background clutter and moving objects. On the basis of the difference, whether there is a moving target can be judged, simulation results have proved the validity of the proposed method.
         
        
            Keywords : 
Doppler radar; image representation; object detection; radar imaging; synthetic aperture radar; background clutter coefficient; ground moving target imaging model; ground moving target indication method; moving object coefficient; over-complete target sample image dictionary; range Doppler imaging; single SAR imagery; sparse representation; synthetic aperture radar; Clutter; Dictionaries; Imaging; Object detection; Synthetic aperture radar; Vectors; moving targets detection; over-complete dictionary; single synthetic aperture radar imagery; sparse representation;
         
        
        
        
            Conference_Titel : 
Signal Processing (ICSP), 2014 12th International Conference on
         
        
            Conference_Location : 
Hangzhou
         
        
        
            Print_ISBN : 
978-1-4799-2188-1
         
        
        
            DOI : 
10.1109/ICOSP.2014.7015367