Name
Abstract | ||
|---|---|---|
A new polarimetric tomography technique based on compressive sensing is proposed in this paper for the applications such as 3D reconstruction of man made target. Compared to the existing methods, the advantages of this new technique are those of preserving full image resolution, no model order selection procedure, high resolution, and low sidelobe artifacts. The effectiveness of the technique is demonstrated by processing real data collected by ground rail SAR. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/IGARSS.2012.6351540 | IGARSS |
Keywords | Field | DocType |
synthetic aperture radar,tomography,compressive sensing,image resolution,polarimetric 3d reconstruction,polarimetric,image reconstruction,full image resolution preservation,compressed sensing,object detection,radar resolution,manmade objects,radar imaging,polarimetric tomography technique,ground rail sar,radar polarimetry,azimuth,reflectivity | Iterative reconstruction,Computer vision,Object detection,Radar imaging,Synthetic aperture radar,Computer science,Remote sensing,Inverse synthetic aperture radar,Artificial intelligence,Image resolution,Compressed sensing,3D reconstruction | Conference |
Volume | Issue | ISSN |
null | null | 2153-6996 E-ISBN : 978-1-4673-1158-8 |
ISBN | Citations | PageRank |
978-1-4673-1158-8 | 0 | 0.34 |
References | Authors | |
1 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shi-qi Xing | 1 | 5 | 4.84 |
| Dahai Dai | 2 | 9 | 5.29 |
| Yongzhen Li | 3 | 112 | 24.15 |
| Jin Liu | 4 | 0 | 0.68 |
| XueSong Wang | 5 | 171 | 32.83 |