Title :
Super-resolve SAR image with 2-D spectral estimation
Author :
Yan, Wang ; Hanwei, Gou ; Diannong, Liang
Author_Institution :
Sch. of Electr. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
According to the model of SAR imaging, a reduced-ranked minimum variance method (RRMVM) is discussed to super-resolve SAR image. The expression of constrained condition is derived, the low-resolution image is simulated with physical optics method, results with this method imply the effectiveness.
Keywords :
image resolution; parameter estimation; physical optics; radar imaging; radar resolution; spectral analysis; synthetic aperture radar; 2D spectral estimation; SAR imaging model; constrained condition; low-resolution image simulation; physical optics method; reduced-ranked minimum variance method; super-resolve SAR image; Bandwidth; Frequency estimation; History; Image resolution; Radar antennas; Radar cross section; Radar imaging; Radar polarimetry; Radar scattering; Signal resolution;
Conference_Titel :
Signal Processing, 2002 6th International Conference on
Print_ISBN :
0-7803-7488-6
DOI :
10.1109/ICOSP.2002.1180073
