双基线极化干涉SAR植被参数反演

doi:10.3969/j.issn.1001-2400.2015.06.005

Abstract

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

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.

References

［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.

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

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