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遥感技术与应用  2009, Vol. 24 Issue (5): 611-616    DOI: 10.11873/j.issn.1004-0323.2009.5.611
技术研究与图像处理     
几种极化干涉SAR森林平均高反演算法的比较评价
李 哲1,3,陈尔学2,王 建1
1.中国科学院寒区旱区环境与工程研究所,甘肃 兰州 730000
2.中国林业科学研究院资源信息研究所,北京 100091 3.中国科学院研究生院,北京 100049
Forest Height Retrieval Methods by Polarimetric SAR Interferometry and Their Validation against Ground Truth
LI Zhe1,3,CHEN Er-xue2,WANG Jian1
1.Cold and Arid Regions Environment and Engineering Research Institute,
Chinese Academy of Sciences,Lanzhou 730000,China
2.Institute of Forest Resources Information Techniques,Chinese Academy of Forestry,Beijing 100091,China 
3.The Graduate University of Chinese Academy of Sciences,Beijing 100049,China
 全文: PDF(1840 KB)  
摘要:

森林树高的反演,一直是极化干涉SAR(Polarimetric SAR Interferometry)研究领域中的热点 。介绍了近年来分别基于相干优化算法和高分辨率波达算法(ESPRIT)的树高反演方法,并尝试了ESPRIT算法和三阶段反演算法的结合。最后利用德国宇航局(DLR)的全极化干涉L波段ESAR数据及其相应的林地平均树高实测数据,对所述方法进行了验证与分析。结果表明:三阶段算法和三阶段Sinc 算法相对于其它算法而言具有较好的结果,但同其它基于散射模型的树高反演算法一样,存在着一定程度的高估 | 而ESPRIT相位差值算法则严重地低估了平均树高 |尽管ESPRIT算法与三阶段算法、三阶段Sinc算法相结合的尝试可在一定程度上提高计算效率,但其树高反演结果并没有得到明显改善。

关键词: 极化干涉SAR 树高反演 ESPRIT POLinSAR    
Abstract:

The objective of this paper is to analyze the forest height retrieval methods from polarimetric SAR interferometry and their validation against ground truth.Both of the methods based on coherence optimization process and that on super-resolution method such as ESPRIT are generalized,analyzed,and compared.Also in this paper hybrid methods of ESPRIT and three-stages/three-stage Sinc are proposed and validated.The DLR quad-polarimetric interferometry ESAR data is used for forest height generation.The validation with ground truth shows that the three-stage and three-stage Sinc method have a relative better performance than all other methods despite with a overestimation of height but with a very good correlation with ground truth.In contrast,as in expectation,the direct ESPRIT phase differencing methods,due to their virtual height results,severally underestimates the forest heights but also with a poor correlation with ground truth.The hybrid methods of ESPRIT and three-stages/three-stage Sinc method,even a fast processing gained,lead to no improved results.

Key words: Polarimetric SAR interferometry    Forest height inversion    ESPRIT    POLinSAR
收稿日期: 2009-02-27 出版日期: 2010-08-24
基金资助:

国家自然科学基金重点课题“多维度微波成像的陆地遥感应用研究”(60890074)项目资助。

作者简介: 李哲(1984-),男,硕士研究生,主要从事雷达极化与干涉信息的分析与遥感应用、寒区旱区生态与环境雷达遥感应用研究。E-mail:lizhee@gmail.com。
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引用本文:

李 哲, 陈尔学, 王 建. 几种极化干涉SAR森林平均高反演算法的比较评价[J]. 遥感技术与应用, 2009, 24(5): 611-616.

LI Zhe, CHEN Er-Xua, WANG Jian. Forest Height Retrieval Methods by Polarimetric SAR Interferometry and Their Validation against Ground Truth. Remote Sensing Technology and Application, 2009, 24(5): 611-616.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2009.5.611        http://www.rsta.ac.cn/CN/Y2009/V24/I5/611

[1] Cloude S R,Papathanasslou K P.Polarimetric SAR Interferometry[J].IEEE Transaction on Geoscience and Remote Sensing,1998,36(5):1551-1565.


[2] Papathanassiou K P,Cloude S R.Single-baseline Polarimetric SAR Interferometry[J].IEEE Transaction on Geoscience and Remote Sensing,2001,39(11):2352-2363.


[3] Treuhaft R N,Madsen S N,Moghaddam M,et al.Vegetation Characteristics and Underlying Topography from Interferometric Radar[J].Radio Science,1996,31(6):1449-1485.


[4] Treuhaft R N,Siqueira P R.Vertical Structure of Vegetated Land Surfaces from Interferometric and Polarimetric Radar[J].Radio Science,2000,35(1):141-177.


[5] Cloude S R,Papathanassiou K P.Three-stage Inversion Proc-ess for Polarimetric SAR Interferometry[J].IEE Proc on Radar,Sonar and Navigation,2003,150(3):125-134.


[6] Cloude S R.POL-InSAR Training Couorse[Z].Training Co-urses for PolSARpro v30,2007,http://earth.esa.int/polsarpro/.


[7] Chen E.Comparison of Methods to Derive Forest Height from Polarimetric SAR Interferometry[C].Proc Dragon 1 Programme Final Results 2004-2007,2008,ESA SP-655,Beijing.


[8] Yamada H,Yamaguchi Y,Kim Y,et al.Polarimetric SAR Interferometry for Forest Analysis Based on the ESPRIT Algorithm[J].IEICE Trans Electron,2001,E84c(12):1917-1924.


[9] Gullaso S,Relgber A,Ferro-Famil L.Evaluation of the ESPRIT Approach in Polarimetric Interferometric SAR[C].Geoscience and Remote Sensing Symposium,2005 IGARSS '05 Proceedings 2005 IEEE International.2005,1-4,Seoul,Korea.


[10] Xinwu L,Huadong G,Zhen L,et al.A Hybrid Vegetation Height Estimation Method Using SIR-C Polarimetric SAR Interferometry Data[C].Geoscience and Remote Sensing Symposium,2005 IGARSS '05 Proceedings 2005 IEEE International,2005,8:5505-5508,Seoul,Korea.


[11] Yamada H,Yamaguchi Y,Boerner W M.Forest Height Feature Extraction in Polarimetric SAR Interferometry by Using Rotational Invariance Property[C].Geoscience and Remote Sensing Symposium,2003 IGARSS '03 Proceedings 2003 IEEE International,2003,3:1426-1428,Toulouse,France.


[12] Yamada H,Okada H,Yamaguchi Y.Accuracy Improvement of ESPRIT-based Polarimetric SAR Interferometry for Forest Height Estimation[C].Geoscience and Remote Sensing Symposium,2005 IGARSS '05 Proceedings 2005 IEEE International,2005:4077-4080,Seoul,Korea.


[13] Yamada H,Yamaguchi Y,Rodriguez E,et al.Polarimetric SAR Interferometry for Forest Canopy Analysis by Using the Super-resolution Method[C].Geoscience and Remote Sensing Symposium,2001 IGARSS '01 IEEE 2001 International,2001,3:1101-1103,Sydney,Australia.


[14] Guang-YI Z,Tao X,Jian Y,et al.Forest Height Inversion Based on Polarimetric SAR Interferometry[C].2008 ICSP 2008 9th International Conference on Signal Processing,2008,2473-2476,Beijing,China.


[15] Lavalle M,Solimni D,Pottier E,et al.PolInSAR for Forest Biomass Retrieval:PALSAR Observations and Model Analysis[C].Geoscience and Remote Sensing Symposium,2008 IGARSS 2008 IEEE International,2008,3:III-302-III-305.Boston,Massachusetts,U.S.A.


[16] Li Xinwu,Guo Huadong.Inversion of Vegetation Parameters Using Spaceborne Polarimetric SAR Interferometry[J].Journal of Remote Sensing,2002,6(6):424-429.[李新武,郭华东.航天飞机极化干涉雷达数据反演地表植被参数[J].遥感学报,2002,6(6):424-429.]

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