Comparative Experiments on Separation Performance of Overlapping Scatterers with Several Tomography Imaging Methods
The tomographic technique has attracted much attention because of its ability to separate overlapping scatterers in urban Synthetic Aperture Radar (SAR) images. The general method of SAR Tomography (TomSAR) imaging combines the following two aspects: estimating the distribution of the scatterers in...
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| Format: | Article |
| Language: | English |
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China Science Publishing & Media Ltd. (CSPM)
2022-02-01
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| Series: | Leida xuebao |
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| Online Access: | https://radars.ac.cn/cn/article/doi/10.12000/JR21139 |
| _version_ | 1797428193279344640 |
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| author | Yexian REN Feng XU |
| author_facet | Yexian REN Feng XU |
| author_sort | Yexian REN |
| collection | DOAJ |
| description | The tomographic technique has attracted much attention because of its ability to separate overlapping scatterers in urban Synthetic Aperture Radar (SAR) images. The general method of SAR Tomography (TomSAR) imaging combines the following two aspects: estimating the distribution of the scatterers in the elevation direction and determining the number of strong scatterers in an overlapped pixel. This study applied several sophisticated spectrum estimations (e.g., Orthogonal Matching Pursuit, Sparse Learning via Iterative Minimization and Multiple Signal Classification) and model order selection approaches (e.g., Bayesian information criterion and generalized likelihood ratio test) with highly technical potential to recover the simulated overlapping scatterers. This simulation experiment is based on the parameters of the AIRCAS X-band TomoSAR data from Emei, Sichuan, China. The Cramér-Rao Lower Bound (CRLB) and recovery probability are used to evaluate the performances of different methods for the separation of overlapped scatterers. The experimental results revealed the following: (1) the standard deviation of estimation using second-order statistics is smaller than that of a single observation vector, especially when the number of acquisitions is very limited; (2) the amplitude ratio, phase difference, and elevation spacing between overlapping scatterers will have a significant impact on the different kinds of algorithms; and (3) the phase difference between overlapping scatterers will make the phase center estimation of greedy algorithm or spectrum estimation algorithm biased. |
| first_indexed | 2024-03-09T08:55:29Z |
| format | Article |
| id | doaj.art-c37413e03fa841a7992af83bfa353f7d |
| institution | Directory Open Access Journal |
| issn | 2095-283X |
| language | English |
| last_indexed | 2024-03-09T08:55:29Z |
| publishDate | 2022-02-01 |
| publisher | China Science Publishing & Media Ltd. (CSPM) |
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| series | Leida xuebao |
| spelling | doaj.art-c37413e03fa841a7992af83bfa353f7d2023-12-02T13:23:53ZengChina Science Publishing & Media Ltd. (CSPM)Leida xuebao2095-283X2022-02-01111718210.12000/JR21139R21139Comparative Experiments on Separation Performance of Overlapping Scatterers with Several Tomography Imaging MethodsYexian REN0Feng XU1Key Laboratory for Information Science of Electromagnetic Waves, MoE, Fudan University, Shanghai 200433, ChinaKey Laboratory for Information Science of Electromagnetic Waves, MoE, Fudan University, Shanghai 200433, ChinaThe tomographic technique has attracted much attention because of its ability to separate overlapping scatterers in urban Synthetic Aperture Radar (SAR) images. The general method of SAR Tomography (TomSAR) imaging combines the following two aspects: estimating the distribution of the scatterers in the elevation direction and determining the number of strong scatterers in an overlapped pixel. This study applied several sophisticated spectrum estimations (e.g., Orthogonal Matching Pursuit, Sparse Learning via Iterative Minimization and Multiple Signal Classification) and model order selection approaches (e.g., Bayesian information criterion and generalized likelihood ratio test) with highly technical potential to recover the simulated overlapping scatterers. This simulation experiment is based on the parameters of the AIRCAS X-band TomoSAR data from Emei, Sichuan, China. The Cramér-Rao Lower Bound (CRLB) and recovery probability are used to evaluate the performances of different methods for the separation of overlapped scatterers. The experimental results revealed the following: (1) the standard deviation of estimation using second-order statistics is smaller than that of a single observation vector, especially when the number of acquisitions is very limited; (2) the amplitude ratio, phase difference, and elevation spacing between overlapping scatterers will have a significant impact on the different kinds of algorithms; and (3) the phase difference between overlapping scatterers will make the phase center estimation of greedy algorithm or spectrum estimation algorithm biased.https://radars.ac.cn/cn/article/doi/10.12000/JR21139array interferometric sartomosar imagingseparation of overlapped scattererscramér-rao lower bound (crlb)recovery probability |
| spellingShingle | Yexian REN Feng XU Comparative Experiments on Separation Performance of Overlapping Scatterers with Several Tomography Imaging Methods Leida xuebao array interferometric sar tomosar imaging separation of overlapped scatterers cramér-rao lower bound (crlb) recovery probability |
| title | Comparative Experiments on Separation Performance of Overlapping Scatterers with Several Tomography Imaging Methods |
| title_full | Comparative Experiments on Separation Performance of Overlapping Scatterers with Several Tomography Imaging Methods |
| title_fullStr | Comparative Experiments on Separation Performance of Overlapping Scatterers with Several Tomography Imaging Methods |
| title_full_unstemmed | Comparative Experiments on Separation Performance of Overlapping Scatterers with Several Tomography Imaging Methods |
| title_short | Comparative Experiments on Separation Performance of Overlapping Scatterers with Several Tomography Imaging Methods |
| title_sort | comparative experiments on separation performance of overlapping scatterers with several tomography imaging methods |
| topic | array interferometric sar tomosar imaging separation of overlapped scatterers cramér-rao lower bound (crlb) recovery probability |
| url | https://radars.ac.cn/cn/article/doi/10.12000/JR21139 |
| work_keys_str_mv | AT yexianren comparativeexperimentsonseparationperformanceofoverlappingscattererswithseveraltomographyimagingmethods AT fengxu comparativeexperimentsonseparationperformanceofoverlappingscattererswithseveraltomographyimagingmethods |