一种基于地形驻点分割的多通道SAR三维重建方法

张福博; 梁兴东; 吴一戎

doi:10.11999/JEIT150244

一种基于地形驻点分割的多通道SAR三维重建方法

doi: 10.11999/JEIT150244

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出版历程
- 收稿日期: 2015-01-20
- 修回日期: 2015-06-25
- 刊出日期: 2015-10-19

3-D Reconstruction for Multi-channel SAR InterferometryUsing Terrain Stagnation Point Based Division

摘要

摘要: 多通道SAR具有高度向分辨能力，能够实现叠掩场景的3维重建，但是由于其基线长度有限，利用现有方法进行重建所得高程定位精度往往较差，而且由于叠掩区域散射系数起伏较大，重建结果中存在较多的漏检。针对以上问题，该文提出一种基于地形驻点分割的多通道SAR 3维重建方法，首先通过层析获得场景3维分布的草图，之后通过地形驻点定位及以地形驻点为门限的分割得到不叠掩的数据，最后利用干涉信号处理实现场景的3维重建。该方法结合了多通道SAR的高度向分辨能力和干涉信号处理的高精度，能够更加稳定、精确地实现叠掩场景的3维重建，基于实际场景缩比模型的仿真实验结果验证了该文算法的有效性。
- 多通道SAR /
- 叠掩 /
- 3维重建 /
- 干涉 /
- 地形驻点
Abstract: Multi-channel SAR can reconstruct the 3-D surface of the observed scene with its resolution power in the elevation. However, with limited baseline length, most methods suffer from limited precision and significant miss rates. In view of this situation, a new 3-D reconstruction method using terrain stagnation point based division is proposed. Firstly, 3-D distribution is obtained using tomography; secondly, stagnation point position and division are conducted to separate the layover; then 3-D reconstruction is conducted using interferometry. This method combines the resolving power of multi-channel SAR and high precision of interferometry. Therefore, reconstruction results with higher precision and greater stability are achieved. The effectiveness of the method is validated using experiments with simulated data.
- Multi-channel SAR /
- Layover /
- 3-D reconstruction /
- Interferometry /
- Terrain stagnation point

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参考文献(18)

Morishita Y and Hanssen R F. Temporal decorrelation in L-, C-, and X-band satellite radar interferometry for pasture on drained peat soils[J]. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(2): 1096-1104.

王健, 向茂生, 李绍恩. 一种基于 InSAR 相干系数的 SAR 阴影提取方法[J]. 武汉大学学报信息科学版, 2005, 30(12): 1063-1066.

Wang Jian, Xiang Mao-sheng, and Li Shao-en. A method for extracting the SAR shadow from InSAR coherence[J]. Geomatics and Information Science of Wuhan University, 2005, 30(12): 1063-1066.

Baselice F, Budillon A, Ferraioli G, et al.. Layover solution in SAR imaging: a statistical approach[J]. IEEE Geoscience and Remote Sensing Letters, 2009, 6(3): 577-581.

Wang Bin, Wang Yan-ping, Hong Wen, et al.. Application of spatial spectrum estimation technique in multibaseline SAR for layover solution[C]. Geoscience and Remote Sensing Symposium, Boston, USA, 2008: III-1139-III-1142.

Lombardini F, Cai F, and Pasculli D. Spaceborne 3-D SAR tomography for analyzing garbled urban scenarios: single-look superresolution advances and experiments[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2013, 6(2): 960-968.

Schmitt M and Stilla U. Compressive sensing based layover separation in airborne single-pass multi-baseline InSAR data [J]. IEEE Geoscience and Remote Sensing Letters, 2013, 10(2): 313-317.

Schmitt M and Stilla U. Maximum-likelihood-based approach for single-pass synthetic aperture radar tomography over urban areas[J]. IET Radar, Sonar Navigation, 2014, 8(9): 1145-1153.

Zhu Xiao-xiang and Bamler R. Super-resolution power and robustness of compressive sensing for spectral estimation with application to spaceborne tomographic SAR[J]. IEEE Transactions on Geoscience and Remote Sensing, 2012, 50(1): 247-258.

Frey O, Siddique M, Hajnsek I, et al.. Combining SAR tomography and a PSI approach for highresolution 3-D imaging of an urban area[C]. Proceedings of 10th European Conference on Synthetic Aperture Radar, Berlin, Germany, 2014: 1-4.

Budillon A, Evangelista A, and Schirinzi G. Three- dimensional SAR focusing from multipass signals using compressive sampling[J]. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(1): 488-499.

Kropatsch W G and Strobl D. The generation of SAR layover and shadow maps from digital elevation models[J]. IEEE Transactions on Geoscience and Remote Sensing, 1990, 28(1): 98-107.

Lombardini F, Robing L, Ender J, et al.. Towards a complete processing chain of multibaseline airborne InSAR data for layover scatterers separation[C]. Urban Remote Sensing Joint Event, Paris, France, 2007: 1-6.

Schack L and Soergel U. Exploiting regular patterns to group persistent scatterers in urban areas[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7(10): 4177-4183.

Tao Jun-yi, Auer S, Palubinskas G, et al.. Automatic SAR simulation technique for object identification in complex urban scenarios[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7(3): 994-1003.

Rossi C, Eineder M, and Fritz T. Detecting building layovers in a SAR interferometric processor without external references[C]. Proceedings of 10th European Conference on Synthetic Aperture Radar, Berlin, Germany, 2014: 1-4.

张红敏. SAR 图像高精度定位技术研究[D]. [博士论文], 解放军信息工程大学, 2013.

Zhang Hong-min. Research on technologies of accurate positioning with SAR images[D]. [Ph.D. dissertation], PLA Information Engineering University, 2013.

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