Name
Abstract | ||
|---|---|---|
This letter introduces a multiple-scatterer detection method in synthetic aperture radar tomography (TomoSAR), named iterative sequential generalized likelihood ratio test (iterative-SGLRT). In this technique, the number of scatterers is sequentially decided by the generalized likelihood ratio test (GLRT) pixel by pixel, after iteratively estimating the parameters. It is a good tradeoff of the aforeproposed methods of sup-GLRT and fast-sup-GLRT on accuracy and efficiency. Simulated comparisons showed that iterative-SGLRT outperformed fast-sup-GLRT on the performances of detection probability and accuracy without substantial computation time increase, and compared with sup-GLRT, its performance loss could be negligible with computational burden greatly reduced. In addition, both iterative-SGLRT and sup-GLRT have been applied to the TerraSAR-X data set over Shenzhen city. The 3-D reconstruction of the test site and the separation of the overlaid scatterers have been achieved. In addition, verification using light detection and radar (LiDAR) indicated a root-mean-square error (RMSE) of $ {0.1\rho _{s}}$ for both methods of the height estimated. Accordingly, iterative-SGLRT is very suitable for large urban area processing for its super-resolution, high efficiency, and robustness. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/LGRS.2020.2964645 | IEEE Geoscience and Remote Sensing Letters |
Keywords | DocType | Volume |
Iterative sequential generalized likelihood ratio test (iterative-SGLRT),layover,synthetic aperture radar tomography (TomoSAR) | Journal | 18 |
Issue | ISSN | Citations |
1 | 1545-598X | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hui Luo | 1 | 0 | 1.69 |
| Zhen Dong | 2 | 81 | 26.47 |
| Zhenhong Li | 3 | 165 | 47.51 |
| Anxi Yu | 4 | 11 | 6.92 |