相干区域长轴的快速估计方法及其应用

白璐; 曹芳; 洪文

doi:10.3724/SP.J.1146.2009.00211

相干区域长轴的快速估计方法及其应用

doi: 10.3724/SP.J.1146.2009.00211

计量
- 文章访问数: 3412
- HTML全文浏览量: 76
- PDF下载量: 783
- 被引次数: 0
出版历程
- 收稿日期: 2009-02-20
- 修回日期: 2009-04-28
- 刊出日期: 2010-03-19

Fast Approach to Estimate the Longest Axis in Coherence Region and Its Applications

摘要

摘要: 相干区域的长轴作为复相干系数间最长的连线，反映了复干涉相干系数线性变化趋势，因此在基于相干散射模型的极化干涉森林应用中具有重要研究意义。针对遍历搜索方法估计长轴效率低、精度受采样间隔限制的不足，该文提出一种相干区域长轴的快速估计方法。该方法将相干区域外切矩形的切点连线作为长轴的初始估计，利用逼近技术求解长轴。为提高森林高度估计性能，该文还提出一种应用长轴信息反演森林参数的方法。松树林的极化干涉仿真数据的结果表明，快速估计方法运行时间远低于遍历搜索方法，且长轴估计精度高于遍历搜索方法，利用长轴信息估计的森林高度更接近于仿真森林高度。
- 极化干涉合成孔径雷达; 森林参数反演; 相干区域; 相干散射模型
Abstract: The longest axis in coherence region, which gives the largest distance between any two coherences, is significant in forestry applications using coherence scattering model, because it reflects the linear variation of complex coherences with the polarization states. To improve the efficiency and accuracy of traversal search, a fast approach is proposed to estimate longest axis in this paper. It uses the line segment of the tangent points of the rectangle externally tangent to coherence region to get the initial estimation for the longest axis. Nest, it obtains the longest axis using the approximation technique. To improve forest height estimation, a forest parameter inversion technique using the longest axis is presented. Results of simulated data for pine forest show the fast approach consumes much less computation time and gives better estimations for the longest axis than traversal search method. Results also show that the introduction of longest axis in forest parameter inversion yields closer estimations to the true forest height.

HTML全文

参考文献(1)

郭华东, 李新武, 王长林, 等. 极化干涉雷达遥感机制及其作用[J]. 遥感学报, 2002, 6(6): 401-405.Guo Hua-dong, Li Xin-wu, and Wang Chang-lin, et al.. Themechanism and role of polarimetric SAR interferometry[J].Joural of Remote Sensing, 2002, 6(6): 401-405.[2]陈兵, 徐绍剑, 张平. 单基线PolInSAR 反演算法研究[J].电子与信息学报.2008, 30(7):1744-1746浏览[3]Papathanassiou K P, Kugler F, and Lee S, et al.. Recentadvances in polarimetric SAR interferometry for forestparameter estimation[C]. IEEE Radar Conference, Rome,Italy, 26-30 May, 2008: 1-6.[4]Papathanassiou K P and Cloude S R. Single-baselinepolarimetric SAR interferometry[J].IEEE Transactions onGeoscience and Remote Sensing.2001, 39(11):2352-2363[5]Zhou Guang-yi, Xiong Tao, and Yang Jian, et al.. Forestheight inversion based on polarimetric SAR inteferometry[C].International Conference on Signal Processing, Beijing,China, 26-29 October, 2008: 2473-2476.[6]Cloude S R and Papathanassiou K P. Three-stage inversionprocess for polarimetric SAR interferometry[J].IEEProceedings Radar, Sonar and Navigation.2003, 150(3):125-134[7]Tobias M, Florian K, and Papathanassiou K P, et al.. Forestand the random volume over ground-nature and effect of 3possible error types[C]. European Conference on SyntheticAperture Radar Proceedings, Dresden, Germany, 16-18 May2006: 13, 4.[8]Tan Lu-lu and Yang Ru-liang. Investigations on tree heightretrieval with polarimetric SAR interferometry[C].Geosciences and Remote Sensing Symposium, Boston, USA,7-11 July, 2008: 546-549.[9]Mark T, Jeffreu O, and Thomas F, et al.. Phase diversity: Adecomposition for vegetation parameter estimation usingpolarimetric SAR Interferometry[C]. European Conferenceon Synthetic Aperture Radar. Cologne, Germany, 4-6 June2002: 721-724.[10]Maxim N, Andreas R, and Ferro-Famil L. Pol-InSARcoherence set theory and application[C]. EuropeanConference on Synthetic Aperture Radar Proceedings,Dresden, Germany, 16-18 May 2006, ID. 037.[11]Maxim N, Andreas R, and Ferro-Famil L. Data classificationbased on PolInSAR coherence shapes[C]. Geosciences andRemote Sensing Symposium, Soul, Korea, 25-29 July 2005:4852-4855.[12]Laurent F, Florian K, and Eric P, et al.. Forest mapping andclassification at L band using Pol-InSAR optimal coherenceset statistics[C]. European Conference on Synthetic ApertureRadar Proceedings, Dresden, Germany, 16-18 May 2006, ID.207.[13]Pottier E, Ferro-Famil L, and Allain S, et al.. PoLSARprov3.3: The versatile educational toolbox for polarimetric andinterferometric SAR data processing[C]. Geosciences andRemote Sensing Symposium, Boston, USA, 7-11 July, 2008:471-474.

施引文献

资源附件(0)

访问统计