Title :
A novel method for squint SAR image reconstruction and graphic correction based on the SPECAN algorithm
Author :
Guoqing Hu ; Xiaoming Ye ; Xiaoguang Hu ; Yao Tang
Author_Institution :
Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
Abstract :
Squint SAR image formation has promising application foreground. In this paper, firstly we proposed a squint SAR image reconstruction algorithm which based on the SPECAN algorithm. The novel method has the characteristics of less calculation, high velocity, high efficiency, wide squint angle range, and etc. Then we corrected the fan-shaped distortion of the reconstructed image. Lastly, this paper analyzed causes of the image geometric distortions and presented a way to correct these distortions.
Keywords :
geometry; image reconstruction; radar imaging; synthetic aperture radar; SPECAN algorithm; fan-shaped distortion; graphic correction; image geometric distortions; squint SAR image reconstruction algorithm; Aircraft; Algorithm design and analysis; Azimuth; Data mining; Real-time systems; Signal resolution; Synthetic aperture radar; SPECAN algorithm; fan-shaped distortion; image geometric rectification; squint SAR;
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2013 8th IEEE Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4673-6320-4
DOI :
10.1109/ICIEA.2013.6566446
