一种差分SAR层析高分辨成像方法

孙希龙; 余安喜; 董臻; 梁甸农

doi:10.3724/SP.J.1146.2011.00676

一种差分SAR层析高分辨成像方法

doi: 10.3724/SP.J.1146.2011.00676

孙希龙^{* 余安喜董臻梁甸农,},
余安喜,
董臻,
梁甸农

基金项目:

国家自然科学基金(61002031)和国防科技大学科研计划(JC10-04-03)资助课题

计量
- 文章访问数: 2973
- HTML全文浏览量: 78
- PDF下载量: 896
- 被引次数: 0
出版历程
- 收稿日期: 2011-07-03
- 修回日期: 2011-10-31
- 刊出日期: 2012-02-19

A High Resolution Imaging Method for Differential SAR Tomography

Sun Xi-Long^{* 余安喜董臻梁甸农
,},
Yu An-Xi,
Dong Zhen,
Liang Dian-Nong

摘要

摘要: 城区建筑的4维成像是差分SAR层析的重要应用领域之一。此种应用背景下，如何利用空间-时间2维平面内稀疏分布的观测数据，在保持方位向-距离向分辨率的同时实现高程向-形变速率向的高分辨成像是差分SAR层析面临的难点问题。在确定性点目标模型下，基于松弛(RELAX)算法，该文提出了一种适用于城区建筑目标的差分SAR层析高分辨成像方法。与统计模型下的空间谱估计方法相比，该方法无需多视处理，能够保持方位向-距离向分辨率。与奇异值分解方法相比，该方法具有更优的高程向-形变速率向分辨能力。在仿真实验和Envisat-ASAR实测数据处理中，该方法的有效性得到了验证。
- 合成孔径雷达 /
- 差分层析 /
- 高分辨 /
- 松弛算法
Abstract: Four-dimensional reconstruction of urban areas and man-made infrastructure is one of the most important applications of differential SAR tomography. In this situation, the urgent problem of differential SAR tomography is how to achieve satisfying elevation-velocity resolution using sparse samples of space-time plane and preserve azimuth-range resolution simultaneously. An imaging method for differential SAR tomography based on RELAXation (RELAX) algorithm is proposed in the framework of deterministic models. Compared the spatial spectral estimation methods with statistical model, this method do not need to implement a spatial multilooking. Compared with the singular value decomposition method, this method has much better resolution. Results obtained by processing simulated data and real data of ENVISAT-ASAR verify the promising potentiality of this method.
- SAR /
- Differential tomography /
- High resolution /
- RELAXation (RELAX) algorithm

HTML全文

参考文献(1)

Lombardini F. Differential tomography: a new framework for SAR interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing, 2005, 43(1): 37-44.[2] Gianfranco F, Diego R, and Serafino F. Four-dimensional SAR imaging for height estimation and monitoring of single and double scatterers[J]. IEEE Transactions on Geoscience and Remote Sensing, 2009, 47(1): 224-237.[3] Reale D, Gianfranco F, Pauciullo A, et al.. Advanced techniques and new high resolution SAR sensors for monitoring urban areas[C]. Processing of IEEE International Geoscience and Remote Sensing Symposium, Honolulu Hawaii, USA, 2010: 1800-1803.[4] 张红, 江凯, 王超, 等. SAR层析技术的研究与应用[J]. 遥感技术与应用, 2010, 25(3): 282-287.Zhang H, J iang K, Wang C, et al.. The current status of SAR tomography[J]. Remote Sensing Technology and Application, 2010, 25(3): 282-287.[5] Zhu X X and Bamler R. Very high resolution spaceborne SAR tomography in urban environment[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(12): 4296-4308.[6] Reale D, Fornaro G, and Pauciull A. Tomographic imaging and monitoring of buildings with very high resolution SAR data[J]. IEEE Geoscience and Remote Sensing Letters, 2011, 8(4): 661-665.[7] Serafino F, Soldovieri F, and Lombardini F. Singular value decomposition applied to 4D SAR imaging[C]. Processing of IEEE International Geoscience and Remote Sensing Symposium, Seoul, Korea, 2005: 2701-2704.[8] 任笑真, 杨汝良. 一种基于逆问题的差分干涉SAR层析成像方法[J]. 电子与信息学报，2010, 32(3): 582-586.Ren X Z and Yang R L. An inverse problem based approach for differential SAR tomography imaging[J]. Journal of Electronics Information Technology, 2010, 32(3): 582-586.[9] Li J and Stoica P. Efficient mixed-spectrum estimation with application to target feature extraction[J]. IEEE Transactions on Signal Processing, 1996, 44(2): 281-295.[10] 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.[11] Zhu X X, Adam N, and Brcic R. Space-borne high resolution SAR tomography: experiments in urban environment using TS-X data[C]. Processing of Joint Urban Remote Sensing Event, Shanghai, China, 2009: 1-8.[12] Reale D, Pauciullo A, Fornaro G, et al.. A scatterers detection scheme in SAR tomography for reconstruction and monitoring of individual buildings[C]. Processing of Joint Urban Remote Sensing Event, Munich, Germany, 2011: 249-252.

施引文献

资源附件(0)

访问统计