Title :
Super-Resolution Reconstruction of Radar Tomographic Image Based on Image Decomposition
Author :
Xizhang Wei ; Zhen Liu ; Xiaofeng Ding ; Meimei Fan
Author_Institution :
Sch. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
In this letter, the relationship between target scattering function and point spread function of radar tomographic imaging is discussed, and an inherent super-resolution reconstruction algorithm based on image decomposition (ID) is proposed. By removing the cross disturbance due to the resolution limitation, the exact radar images can be obtained. Furthermore, the total least-square regulation is applied to the ID-based algorithm in cases of additive white Gaussian noise and small parameter estimation error. Finally, the effectiveness of the proposed algorithm is demonstrated via numerical simulations.
Keywords :
AWGN; image reconstruction; image resolution; least squares approximations; optical transfer function; radar imaging; tomography; additive white Gaussian noise; image decomposition; least square regulation; point spread function; radar tomographic image; radar tomographic imaging; small parameter estimation error; superresolution reconstruction; target scattering function; Image resolution; Radar imaging; Scattering; Signal resolution; Tomography; Image decomposition (ID); super-resolution reconstruction (SRR); tomography;
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2013.2272312
