基于有向体模型的植被参数反演及室内宽带实验研究

胡楚锋; 周洲; 李南京; 张麟兮; 许家栋

doi:10.3724/SP.J.1146.2011.00553

基于有向体模型的植被参数反演及室内宽带实验研究

doi: 10.3724/SP.J.1146.2011.00553

基金项目:

航天科技创新基金重点项目(CASC200904)资助课题

计量
- 文章访问数: 2723
- HTML全文浏览量: 83
- PDF下载量: 1120
- 被引次数: 0
出版历程
- 收稿日期: 2011-06-07
- 修回日期: 2011-09-14
- 刊出日期: 2012-02-19

Investigation on Vegetation Parameters Invesion Algorithm Based on Oriented Volume Model and Indoor Wide-band Measurements

摘要

摘要: 该文对具有极化特征的植被提出一种基于有向体(OV)模型的参数反演算法，并尝试在微波暗室内构建全极化干涉合成孔径雷达半实物宽带测量系统，对模型及算法进行实验验证。根据OV模型的植被特征，以同极化之差所代表的二面角散射机理作为地形相位点的判别依据，结合计算平均值和标准差的方法反演出植被高度。接下来，在环境可控的微波暗室内构建了实验系统，采用两个高度已知的三面角对干涉基线距进行校准，提高了参数反演精度。实验结果表明：在场景的地体幅度比较大的情况下，植被反演高度与实际高度的误差仅为0.03 m，全频带内的高度反演误差不超过0.2 m，说明了反演算法的有效性。
- 极化干涉SAR /
- 极化特征 /
- 有向体(OV)模型 /
- 参数反演 /
- 植被高度 /
- 微波暗室
Abstract: A vegetation parameters inversion algorithm based on Oriented Volume (OV) model is presented for vegetation with polarization characteristics, and the model and the algorithm is verified with a hard-in-loop polarimetric SAR interferometriy system constructed in an anechoic chamber. According to the vegetation characteristics of OV model, the difference of co-polarization represented dihedral scattering mechanism is discriminated as a basis for topographic phase, finally the retrieval vegetation height is gained by calculating the average and standard deviation. Next, a hard-in-loop broadband polarimetric SAR interferometric system is constructed in a controlled environment. The baseline is calibrated by two trihedral angles with height known. The experimental results show that the retrieval height is fluctuated 0.03 m to the actual height, and the inversion error is less than 0.2 m in the whole band, which explain the feasibility of model and the inversion algorithm.
- Polarization SAR interferometriy /
- Polarization characteristics /
- Oriented Volume (OV) model /
- Parameters inversion algorithm /
- Vegetation height /
- Anechoic chamber

HTML全文

参考文献(1)

吴一戎, 洪文, 王彦平. 极化干涉SAR的研究现状与启示[J]. 电子与信息学报, 2007, 29(5): 1258-1262.Wu Yi-rong, Hong Wen, and Wang Yan-ping. The current status and implications of polarimetric SAR interferometry[J]. Journal of Electronics Information Technology, 2007, 29(5): 1258-1262.[2] Lavalle M, Solimini D, Pottier E, et al.. Compact polarimetric SAR interferometry[J]. IET Radar, Sonar Navigation, 2010, 4(3): 449-456.[3] Jin Y Q. Polarimetric scattering modeling and information retrieval of SAR remote sensinga review of FDU work[J]. Progress in Electromagnetics Research, 2010, 104(5): 333-384.[4] Pottier E. Recent advances in the development of the open source toolbox for polarimetric and interferometric polarimetric SAR data processing: the POLSARPRO V4.1.5 software[C]. IEEE International Geoscience and Remote Sensing Symposium, Honolulu, HI, June 25-30, 2010: 2527-2530.[5] 罗环敏, 陈尔学, 程建, 等. 极化干涉SAR森林高度反演方法研究[J]. 遥感学报, 2010, 14(4): 814-821.Luo Huan-min, Chen Er-xue, Cheng Jian, et al.. Forest height estimation methods using polarimetric SAR interferometry[J]. Journal of Remote Sensing, 2010, 14(4): 814-821.[6] Treuhaft R N and Siqueira P R. Vertical structure of vegetated land surfaces from interferometric and polarimetric radar[J]. Radio Science, 2000, 35(1): 141-177.[7] 李廷伟, 黄海风, 梁甸农, 等. 基于Freeman分解的植被参数反演新方法[J]. 电子与信息学报, 2011, 33(4): 781-786.Li Ting-wei, Huang Hai-feng, Liang Dian-nong, et al.. A novel vegetation parameters inversion method based on the freeman decomposition[J]. Journal of Electronics Information Technology, 2011, 33(4): 781-786.[8] 谈璐璐, 陈兵, 杨汝良. 利用POLInSAR数据反演植被高度的改进三阶段算法[J]. 系统仿真学报, 2010, 22(4): 996-999.Tan Lu-lu, Chen Bing, and Yang Ru-liang. Improved three-stage algorithm of tree height retrieval with PolInSAR[J]. Journal of System Simulation, 2010, 22(4): 996-999.[9] Lopez J M, Ballester J D, and Marquez Y. Model limitations and parameter-estimation methods for agricultural applications of polarimetric SAR interferometry[J]. IEEE Transactions on Geoscience Remote Sensing, 2007, 45(11): 3481-3493.[10] Garestier F, Dubois-Fernandez P C, and Champion I. Forest height inversion using high-resolution P-band Pol-InSAR data[J]. IEEE Transactions on Geoscience Remote Sensing, 2008, 46(11): 3544-3559.[11] Sanjuan M J, Lopez J M, and Ballester J D. Microwave scattering profiles of a rice sample by means of polarization coherence tomography[C]. IEEE International Geoscience and Remote Sensing Symposium, Boston, MA, USA, July 7-11, 2008: 554-557.[12] Neumann M, Ferro L, and Reigber A. Estimation of forest structure, ground, and canopy layer characteristics from multibaseline polarimetric interferometric SAR data[J]. IEEE Transactions on Geoscience Remote Sensing, 2010, 48(3): 1086-1104.

施引文献

资源附件(0)

访问统计