双基线极化干涉SAR植被参数反演

doi:10.3969/j.issn.1001-2400.2015.06.005

J4 ›› 2015, Vol. 42 ›› Issue (6): 23-29.doi: 10.3969/j.issn.1001-2400.2015.06.005

双基线极化干涉SAR植被参数反演

卢红喜1;李东霖2;刘宏伟1;索志勇1;宋文青1;保铮1

(1. 西安电子科技大学雷达信号处理国家重点实验室，陕西西安 710071;
2. 上海卫星工程研究所, 上海 200240)

收稿日期:2014-06-20 出版日期:2015-12-20 发布日期:2016-01-25
通讯作者: 卢红喜
作者简介:卢红喜(1987-)，男，西安电子科技大学博士研究生，E-mail：xdkd@163.com．
基金资助:
国家自然科学基金资助项目(61271024，61201292，61201283)；全国优秀博士学位论文作者专项资金资助项目(FANEDD-201156)；新世纪优秀人才支持计划资助项目(NCET-09-0630)；中央高校基本科研业务费专项资金资助项目(K5051302014)

Forest parameters retrieval with dual-baseline polarimetric SAR interferometry based on clustering analysis

LU Hongxi1;LI Donglin2;LIU Hongwei1;SUO Zhiyong1;SONG Wenqing1;BAO Zheng1

(1. National Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an 710071, China;
2. Shanghai Institute of Satellite Engineering, Shanghai 200240, China)

Received:2014-06-20 Online:2015-12-20 Published:2016-01-25
Contact: LU Hongxi

摘要/Abstract

摘要：

植被参数反演是极化干涉合成孔径雷达的重要应用，然而单基线极化干涉合成孔径雷达技术无法解决体散射去相干估计的模糊问题．提出了一种新的双基线极化干涉合成孔径雷达技术，充分利用了双基线观测数据的相关性，能够有效地解决体散射去相干估计的模糊问题，并对基线比例较小的情况仍具有较好的鲁棒性．利用欧空局发布的PolSARPro软件仿真验证了该方法的有效性和稳健性．

关键词: 极化干涉合成孔径雷达, 植被参数反演, 双基线解模糊, 聚类分析

Abstract:

Forest parameters inversion is an important application of Polarimetric Synthetic Aperture Radar Interferometry(PolInSAR). To resolve the volume decorrelation coefficient ambiguity of single-baseline PolInSAR, a new dual-baseline PolInSAR approach is proposed in this paper. The correlation of dual-baseline data is fully investigated to resolve the ambiguity problem effectively, and the performance of the proposed approach is proved to be of great robustness in a very small baseline ratio system. Finally, experimental results with ESA dual-baseline PolInSAR simulated data validate the effectiveness and robustness of the proposed approach.

Key words: polarimetric synthetic aperture radar interferometry, forest parameters inversion, dual-baseline volume ambiguity-resolving, clustering analysis

卢红喜;李东霖;刘宏伟;索志勇;宋文青;保铮. 双基线极化干涉SAR植被参数反演[J]. J4, 2015, 42(6): 23-29.

LU Hongxi;LI Donglin;LIU Hongwei;SUO Zhiyong;SONG Wenqing;BAO Zheng. Forest parameters retrieval with dual-baseline polarimetric SAR interferometry based on clustering analysis[J]. J4, 2015, 42(6): 23-29.

参考文献

［1］ Lopez-Martinez C, Alonso-Gonzalez A. Assessment and Estimation of the RVoG Model in Polarimetric SAR Interferometry ［J］. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(6): 3091-3106.
［2］ Arnaubec A, Roueff A, Dubois-Fernandez P C, et al. Vegetation Height Estimation Precision With Compact PolInSAR and Homogeneous Random Volume Over Ground Model ［J］. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(3): 1879-1891.
［3］ de Castro-Filho C A P, da Costa Freitas C, Siqueira Sant'Anna S J, et al. Relating Amazon forest biomass to PolInSAR extracted features ［C］//International Geoscience and Remote Sensing Symposium. Piscataway: IEEE, 2013: 957-960.
［4］秦华, 周沫, 察豪, 等. 软件雷达信号处理的多GPU并行技术［J］. 西安电子科技大学学报, 2013, 40(3): 145-151.
Qin Hua, Zhou Mo, Cha Hao, et al. Research on Multi-GPU parallel Technology in Software Radar Signal Processing［J］. Journal of Xidian University, 2013, 40(3): 145-151.
［5］ Cloude S R. Robust Parameter Estimation Using Dual Baseline Polarimetric SAR Interferometry ［C］//International Geoscience and Remote Sensing Symposium. Piscataway: IEEE, 2002: 838-840.
［6］陈曦, 张红, 王超. 双基线极化干涉合成孔径雷达的植被参数提取［J］. 电子与信息学报, 2008, 30(12): 2858-2861.
Chen Xi, Zhang Hong, Wang Chao. Vegetation Parameter Extraction Using Dual Baseline Polarimetric SAR Interferometry Data［J］. Journal of Electronics ＆ Information Technology, 2008, 30(12): 2858-2861.
［7］ Cloude S R, Williams M L. A Coherent EM Scattering Model for Dual Baseline POLInSAR ［C］//International Geoscience and Remote Sensing Symposium. Piscataway: IEEE, 2003: 1423-1425.
［8］ Lavalle M, Khun K. Three-baseline InSAR Estimation of Forest Height ［J］. IEEE Geoscience and Remote Sensing Letters, 2014, 11(10): 1737-1741.
［9］ Papathanassiou K P, Cloude S R. Single-baseline Polarimetric SAR Interferometry ［J］. IEEE Transactions on Geoscience and Remote Sensing, 2001, 39(11): 2352-2363.
［10］ Lavalle M, Solimini D, Pottier E, et al. Forest Parameters Inversion Using Polarimetric and Interferometric SAR Data ［C］//International Geoscience and Remote Sensing Symposium. Piscataway: IEEE, 2009: 129-132.
［11］ Lu H X, Suo Z Y, Guo R, et al. S-RVoG Model for Forest Parameters Inversion over Underlying Topography ［J］. Electronics Letters, 2013, 49(9): 618-619.
［12］ Cloude S R, Papathanassiou K P. Three-stage Inversion Process for Polarimetric SAR Interferometry ［J］. IEE Proceedings: Radar, Sonar and Navigation, 2003, 150(3): 125-134.
［13］ Tan L L, Yang R L. Investigation on Tree Height Retrieval with Polarimetric SAR Interferometry ［C］//International Geoscience and Remote Sensing Symposium. Piscataway: IEEE, 2008: 546-549.
［14］ Beck A, Teboulle M. A Fast Iterative Shrinkage-thresholding Algorithm for Linear Inverse Problems ［J］. SIAM Journal on Imaging Sciences, 2009, 2(1): 183-202.
［15］ Lopez-Martinez C, Alonso A. A Study of the RVoG Coherent Scattering Model Validity in PolInSAR for Forests Studies ［C］//International Geoscience and Remote Sensing Symposium. Piscataway: IEEE, 2013: 2349-2352.
［16］ Lopez-Martinez C, Fabregas X, Alonso-Gonzalez A. Analysis and Validity of the PolInSAR Line Model on Forested Areas ［C］//European Conference on Synthetic Aperture Radar. Piscataway: IEEE, 2012: 697-700.
［17］ Bishop C M. Pattern Recognition and Machine Learning ［M］. Cambridge: Springer, 2008: 44-63.

[1]	杨利英;杨胜楠;袁细国;耿芳歌;张军英. 泛癌症DNA甲基化位点聚类分析[J]. 西安电子科技大学学报, 2018, 45(4): 23-28.
[2]	刘家辰;苗启广;宋建锋;曹莹 . 使用聚类稳定性分析方法增强单类学习算法 [J]. J4, 2015, 42(2): 58-64+121.
[3]	刘杰;王宇平. 一种采用聚类单纯形搜索的引力算法[J]. J4, 2014, 41(6): 100-105.
[4]	汪涛;卢朝阳. 一种新的汽车牌照字符切分算法[J]. J4, 2005, 32(6): 931-934.
[5]	伍忠东1;高新波1;谢维信2. 基于核方法的模糊聚类算法[J]. J4, 2004, 31(4): 533-537.
[6]	徐松涛1;2;杨绍全1. 被动单脉冲导引头干扰源角度分辨[J]. J4, 2004, 31(1): 102-105.
[7]	暂时无作者信息. 一种基于特征加权的模糊c-均值聚类算法[J]. J4, 2000, 27(7): 80-84.
[8]	暂时无作者信息. 医学图像分割的神经网络方法[J]. J4, 1998, 25(5): 0-0.
[9]	暂时无作者信息. 聚类神经网络的通用设计方法[J]. J4, 1997, 24(1): 0-0.

双基线极化干涉SAR植被参数反演

Forest parameters retrieval with dual-baseline polarimetric SAR interferometry based on clustering analysis

PDF (PC)

赞

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 9

Metrics

本文评价

推荐阅读 0