Name
Abstract | ||
|---|---|---|
Available conventional super resolution SAR imaging methods are based on complex images obtained by SAR imaging algorithms, and form super resolution SAR images via 2-D spectral estimation methods. A super resolution SAR imaging method combined with the chirp scaling algorithm (CSA) is presented in this paper. The new method forms a super resolution image by performing the range and the azimuth processing independently. This method can reduce the effects of phase errors on super resolution processing. The method is suitable for practical application since it does not require heavy computation. Experimental results show the effectiveness of the presented method. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/IGARSS.2002.1027286 | IGARSS |
Keywords | Field | DocType |
image resolution,radar imaging,radar resolution,synthetic aperture radar,csa,azimuth processing,chirp scaling algorithm,phase errors,range processing,super resolution sar imaging method,fourier transforms,azimuth,bandwidth,super resolution,spectral estimation,scattering,chirp | Doppler radar,Computer vision,Spectral density estimation,Radar imaging,Computer science,Synthetic aperture radar,Remote sensing,Azimuth,Bandwidth (signal processing),Chirp,Artificial intelligence,Image resolution | Conference |
Volume | ISBN | Citations |
6 | 0-7803-7536-X | 1 |
PageRank | References | Authors |
0.37 | 3 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuping Cheng | 1 | 1 | 0.37 |
| Lu, Y. | 2 | 12 | 2.04 |
| Zhiping Lin | 3 | 5 | 2.61 |