Please wait a minute...
img

官方微信

遥感技术与应用  2016, Vol. 31 Issue (3): 551-557    DOI: 10.11873/j.issn.1004-0323.2016.3.0551
模型与反演     
机载XG波段双天线InSAR 数据森林树高估测方法
冯琦1,2,陈尔学1,2,李增元1,2,李兰1,2,赵磊1,2
(1.中国林业科学研究院资源信息研究所,北京 100091;
2.国家林业局遥感与信息技术重点开放性实验室,北京 100091)
Forest Height Estimation from Airborne  X-band Single\|pass InSAR Data
Feng Qi1,2,Chen Erxue1,2,Li Zengyuan1,2,Li Lan1,2,Zhao Lei1,2
(1.Research Institute of Forest Resource Information Techniques,
Chinese Academy of Forestry,Beijing 100091,China;
2.Remote Sensing and Information Technology,State Forestry Administration Key Lab,Beijing 100091,China)
 全文: PDF(5698 KB)  
摘要:

短波长的干涉合成孔径雷达(InSAR)适用于数字表面模型(DSM)提取,但难以提取准确的林下地相位,在缺乏高精度数字高程模型(DEM)的森林区域,短波长InSAR数据估测树高的能力受到限制.针对这一问题,采用机载XG波段单极化(HH)双天线InSAR数据开展了森林树高估测方法研究.双天线InSAR可以忽略时间去相干的影响,并且XG波段波长较短,入射角较大(中心入射角45.77°),地表对干涉去相干的贡献可以忽略,因此可将干涉复相干作为体去相干,对体去相干模型中的结构函数进行勒让德展开,截取第0阶展开式得到了基于相干幅度的森林树高估测模型,利用均匀选取的LiDAR 冠层高度模型(CHM)检验样本对估测结果进行严格的精度评价,并与差分法的树高估测结果进行对比.精度评价结果显示:相干幅度法与差分法都得到了较高的估测精度,两者的R2、RMSE、总精度分别为0.81、0.86;1.20m、0.97m;86.4%、88.7%.研究结果表明:相干幅度与森林树高具有负相关关系,适用于估测树高,基于单极化相干幅度的估测模型也可以得到较高的估测精度,与差分法的估测结果相比,虽然估测精度略有降低,但此方法具有两方面的优势:一方面,估测结果不需要实测样地数据标定,对于没有实测样地数据的森林区域亦能进行高精度的树高估测;另一方面,相干幅度法不需要高精度的DEM,具有更强的实用性.

关键词: 机载SARXG波段双天线树高SINC模型    
Abstract:

The ground topography of forestry areas is difficult to derive based on short wavelength InSAR data for it is more applicable to estimate Digital Surface Model (DSM).The tree height estimation based on short wavelength InSAR data is restricted without high precision Digital Elevation Model (DEM).To address the problem,The X\|band HH polarization single\|pass InSAR data was used for tree height estimation.The X\|band single\|pass InSAR data is characterized by non\|temporal decorrelation,and the surface return would be ignored.Thus the volume decorrelation equals to the interferometric coherence.The Fourier\|Legendre polynomials can be used to describe the structure function of volume decorrelation term,and the zeroth\|order Legendre polynomial yields a SINC function developped as the tree height estimation model,namely coherent amplitude method.The model precision was validated with LiDAR CHM data compared with the method based on phase difference.The results showed that the estimation precision of both methods were high,for the R2 were 0.81,0.86,respectively,the RMSE were 1.20m,0.97m and the overall accuracy were 86.4%,88.7%.It can be concluded that there is a remarkable negative correlation between coherent amplitude and tree height,and the single\|polarization coherent amplitude can be used to obtain a satisfactory estimation result based on coherent amplitude method.Though the estimation precision of coherent amplitude method was slightly lower compared with the method based on phase difference,there are two advantages:firstly,the estimation result of this method don’t need to be calibrated,so it can be used for forest areas without true data.Secondly,it is more practical for the high precision DEM is not required.

Key words: Airborne SAR;X\    band;Dual\    antenna;Tree height;SINC model
收稿日期: 2015-04-17 出版日期: 2016-07-19
:  TP79  
基金资助:

高分辨率对地观测系统重大专项(民用部分)“高分林业遥感应用示范系统”(21GY30B05G9001G13/15G1);国家973计划项目“复
杂地表遥感信息动态分析与建模”(2013CB733404).

通讯作者: 陈尔学(1968-),男,山东菏泽人,博士,研究员,主要从事雷达应用技术研究.Email:chenerx@caf.ac.cn.   
作者简介: 冯琦(1987-),男,山东临沂人,博士研究生,主要从事SAR森林参数估测研究.Email:fengqi19872005@163.com.
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  
冯琦
陈尔学
李增元
李兰
赵磊

引用本文:

冯琦,陈尔学,李增元,李兰,赵磊. 机载XG波段双天线InSAR 数据森林树高估测方法[J]. 遥感技术与应用, 2016, 31(3): 551-557.

Feng Qi,Chen Erxue,Li Zengyuan,Li Lan,Zhao Lei. Forest Height Estimation from Airborne  X-band Single\|pass InSAR Data. Remote Sensing Technology and Application, 2016, 31(3): 551-557.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2016.3.0551        http://www.rsta.ac.cn/CN/Y2016/V31/I3/551

[1]Praks J,Hallikainen M,Antropov O,et al.Boreal Forest Tree Height Estimation from Nterferometric Tandem-X Images[C]//IEEE Geoscience and Remote Sensing Symposium (IGARSS),2012:1262-1265.

[2]Kuglerl F,Sauerl S,Seung-Kuk L,et al.Potential of TanDEM-X for Forest Parameter Estimation[C]//Synthetic Aperture Radar(EUSAR),2010 8th European Conference on,2010:1-4.

[3]Kugler F,Hajnsek I.Forest Characterisation by Means of TerraSAR-X and TanDEM-X (Polarimetric and) Interferometric Data[C]//IEEE Geoscience and Remote Sensing Symposium (IGARSS),2011:2578-2581.

[4]Kugler F,Schulze D,Hajnsek I,et al.TanDEM-X Pol-InSAR Performance for Forest Height Estimation[J].IEEE Transactions on Geoscience and Remote Sensing,2014,52(10):6404-6422.

[5]Soja M J,Ulander L M H.Two-level Forest Model Inversion of Interferometric TanDEM-X Data[C]//EUSAR 2014,10th European Conference on Synthetic Aperture Radar,2014:1-4.

[6]Jerzy S M,Persson H,Ulander L M H.Estimation of Forest Height and Canopy Density from a Single InSAR Correlation Coefficient[J].IEEE Geoscience and Remote Sensing Letters,2015,12(3):646-650.

[7]Jerzy Soja M,Ulander L M H.Digital Canopy Model Estimation from TanDEM-X Interferometry Using High-resolution LiDAR DEM[C]//IEEE Geoscience and Remote Sensing Symposium (IGARSS),2013:165-168.

[8]Sadeghi Y,St-Onge B,Leblon B,et al.Mapping Forest Canopy Height Using TanDEM-X Dsm and Airborne LiDAR DTM[C]//IEEE Geoscience and Remote Sensing Symposium (IGARSS),2014:76-79.

[9]Solberg S,Weydahl D J,Astrup R.Temporal Stability of X-Band Single-pass InSAR Heights in a Spruce Forest:Effects of Acquisition Properties and Season[J].IEEE Transactions on Geoscience and Remote Sensing,2015,53(3):1607-1614.

[10]Cloude S R,Chen H,Goodenough D G.Forest Height Estimation and Validation Using Tandem-X PolInSAR[C]//2013 IEEE International Geoscience and Remote Sensing Symposium (IGARSS),2013:1889-1892.

[11]Pang Yong,Zhao Feng,Li Zengyuan,et al.Forest Height Inversion Using Airborne LiDAR Technology[J].Journal of Remote Sensing,2008,12(1):152-158.[庞勇,赵峰,李增元,等.机载激光雷达平均树高提取研究[J].遥感学报,2008,12(1):152-158.]

[12]Li Wenjuan,Zhao Chuanyan,Bie Qing,et al.Retrieval of the Forest Structural Parameters Using Airborne LiDAR Data[J].Remote Sensing Technology and Application,2015,30(5):917-924.[李文娟,赵传燕,别强,等.基于机载激光雷达数据的森林结构参数反演[J].遥感技术与应用,2015,30(5):917-924.]

[1] 廖凯涛,齐述华,王成,王点. 结合GLAS和TM卫星数据的江西省森林高度和生物量制图[J]. 遥感技术与应用, 2018, 33(4): 713-720.
[2] 李兰,陈尔学,李增元,冯琦,赵磊. 合成孔径雷达森林树高和地上生物量估测研究进展[J]. 遥感技术与应用, 2016, 31(4): 625-633.
[3] 王金亮,程峰,王成,陈联君,王小花. 基于ICESat-GLAS数据估算复杂地形区域森林蓄积量潜力初探—以云南香格里拉县为例[J]. 遥感技术与应用, 2012, 27(1): 45-50.
[4] 唐菲菲,阮志敏,刘星,张亚利. 基于机载激光雷达数据识别单株木的新方法[J]. 遥感技术与应用, 2011, 26(2): 196-201.
[5] 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.
[6] 田兆申,李杨,张多坤,尤红建. 应用于InSAR基线测量的图像目标定位方法[J]. 遥感技术与应用, 2008, 23(5): 537-544.
[7] 唐月生, 邓海涛, 张长耀, 刘 锋. 机载SAR 实时成像处理系统设计[J]. 遥感技术与应用, 2005, 20(1): 81-84.