Name
Title | ||
|---|---|---|
Three-Dimensional Reconstruction of Man-Made Objects Using Polarimetric Tomographic SAR |
Abstract | ||
|---|---|---|
The growing interest in 3-D reconstruction of targets, particularly man-made objects, has made synthetic aperture radar (SAR) tomography a hot topic in recent years. It obtains a 3-D reflectivity map by coherently processing multiple images acquired from slightly different views. This paper investigates the use of polarimetric tomographic SAR to reconstruct 3-D images of man-made objects and proposes a polarimetric 3-D reconstruction technique, based on the multiple-measurement vector compressive sensing (CS) (MMV-CS) model and Tikhonov regularization theory. The main feature of the technique is that of allowing joint reconstruction of polarimetric 3-D reflectivity maps with high resolution. For X-band tomographic SAR, we demonstrate that the phase error induced by an array element error is severe enough to prevent data focusing and propose a phase calibration technique employing prominent scatterers to adapt the proposed technique to practice. To check the plausibility of our algorithms, a ground-based SAR system is introduced, and high-resolution 3-D images obtained by processing the real collected data are presented. As special cases of the new proposed technique, both the Tikhonov regularization and the MMV-CS method reconstruct the targets successfully and give an accurate estimate for the vehicle size. Compared to the Tikhonov regularization method, the MMV-CS technique exhibits much better superresolution power and lower sidelobe level. The advantage of the MMV-CS technique over the single-measurement vector CS technique is also demonstrated, and the phase calibration algorithm is verified. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/TGRS.2012.2220145 | IEEE T. Geoscience and Remote Sensing |
Keywords | Field | DocType |
synthetic aperture radar,calibration,compressive sensing (cs),high-resolution 3d images,polarimetric 3d reflectivity map reconstruction,polarimetric tomographic sar technique,phase calibration technique,3-d reconstruction,3d image reconstruction,phase calibration,polarimetric tomographic synthetic aperture radar technique,image resolution,multiple-measurement vector compressive sensing model,man-made objects,synthetic aperture radar (sar) tomography,image reconstruction,ground-based sar system,tikhonov regularization theory,man-made object three-dimensional reconstruction,x-band tomographic sar,phase error,regularization,array element error,radar polarimetry,mmv-cs model,tomography,radar imaging | Iterative reconstruction,Tikhonov regularization,Computer vision,Radar imaging,Synthetic aperture radar,Remote sensing,Tomography,Regularization (mathematics),Artificial intelligence,Image resolution,Mathematics,Compressed sensing | Journal |
Volume | Issue | ISSN |
51 | 6 | 0196-2892 |
Citations | PageRank | References |
4 | 0.76 | 22 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shi-qi Xing | 1 | 5 | 4.84 |
| Yongzhen Li | 2 | 112 | 24.15 |
| Dahai Dai | 3 | 9 | 5.29 |
| XueSong Wang | 4 | 171 | 32.83 |