基于PolInSAR相干區(qū)域的最優(yōu)正規(guī)矩陣近似解的地形與樹(shù)高估計(jì)
doi: 10.11999/JEIT160774 cstr: 32379.14.JEIT160774
-
1.
(北京理工大學(xué)光電學(xué)院 北京 100081) ②(北京理工大學(xué)信息與電子學(xué)院 北京 100181)
Topography and Tree Height Estimation Based on the Best Normal Matrix Approximation for PolInSAR Coherence Region
-
1.
(School of Optoelectronics, Beijing Institute of Technology, Beijing 100081, China)
-
2.
(School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China)
-
摘要: 森林區(qū)域林下地形及樹(shù)高的反演是極化干涉雷達(dá)的一個(gè)重要應(yīng)用。該文首先對(duì)極化干涉SAR數(shù)據(jù)的相干區(qū)域進(jìn)行建模及運(yùn)用最優(yōu)正規(guī)矩陣近似干涉互相關(guān)矩陣,得到白化正規(guī)干涉互相關(guān)矩陣。白化正規(guī)干涉互相關(guān)矩陣的相干區(qū)域?yàn)橐粭l直線,任意求得兩個(gè)不同極化狀態(tài)下的相干系數(shù)進(jìn)行直線擬合,完成地表的估計(jì),再結(jié)合體散射去相干與樹(shù)高之間的關(guān)系,運(yùn)用查表方法完成樹(shù)高的估計(jì)。該方法回避了傳統(tǒng)方法中求解所有極化狀態(tài)下的相干系數(shù)估計(jì)及相干區(qū)域邊緣提取的步驟,在簡(jiǎn)化參數(shù)反演提升估計(jì)效率的同時(shí)獲得正確地表與樹(shù)高估計(jì),最后運(yùn)用仿真數(shù)據(jù)完成算法有效性與可靠性的驗(yàn)證。
-
關(guān)鍵詞:
- 極化干涉合成孔徑雷達(dá) /
- 相干區(qū)域 /
- 最優(yōu)正規(guī)矩陣近似 /
- 地形與樹(shù)高反演
Abstract: The inversion of topography and tree height in forest area is one of the most important applications in the Polarimetric SAR Interferometry (PolInSAR). In this paper, the coherent region of the PolInSAR data is modeled and the best normal matrix is used to approximate the cross correlation matrix, further, the whitened interferometric cross-correlation matrix is obtained. The coherence region of the whitened interferometric cross-correlation matrix is a straight line. Two arbitrary coherences obtained under two different polarization states can be applied to fitting a straight line. Based on the fitting line, the topographical phase can be estimated successfully. Referring to the relationship between the volume scattering and the tree height, look-up table method is used to search the correct tree height. The proposed method can avoid the complex steps of the traditional method, which needs to solve all the coherences under different polarization states to obtain the edge of the coherent region. The proposed method simplifies the inversion procedure and improves the efficiency of inversion, meanwhile, achieves the correct topography as well as the tree height. Finally, the simulation data are applied to validating the validity and reliability of the proposed method. -
吳一戎, 洪文, 王彥平. 極化干涉SAR的研究現(xiàn)狀與啟示[J]. 電子與信息學(xué)報(bào), 2007, 29(5): 1258-1262. WU Yirong, HONG Wen, and WANG Yanping. The current status and implications of polarimetric SAR interferometry[J]. Journal of Electronics Information Technology, 2007, 29(5): 1258-1262. GUO S L, LI Y, HONG W, et al. Modification of polarimetric SAR interferometry target decomposition with accuracy topography[J]. IEEE Geoscience and Remote Sensing Letters, 2015, 12(7): 1476-1480. doi: 10.1109/ LGRS.2015.2409311. GUO S L, LI Y, YIN Q, et al. Estimation of ground topography under forests with polarimetric SAR interferometry[C]. 2015 IET Radar Conference, Hangzhou, China, 2015: 1-6. CLOUDE S R and PAPATHANASSIOU K P. Three-stage inversion process for polarimetric SAR interferometry[J]. IEE Proceedings-Radar, Sonar and Navigation, 2003, 150(3): 125-134. doi: 10.1049/ip-rsn:20030449. GARESTIER F, DUBOIS-FERNANDEZ P C, and PAPATHANASSIO K P. Pine forest height inversion using single-pass X-band PolInSAR data[J]. IEEE Transactions on Geoscience and Remote Sensing, 2008, 46(1): 59-68. doi: 10.1109/TGRS.2007.907602. 郭勝龍, 李洋, 洪文, 等. 基于簡(jiǎn)縮極化干涉SAR數(shù)據(jù)的森林垂直結(jié)構(gòu)參數(shù)反演[J]. 電子與信息學(xué)報(bào), 2016, 38(1): 71-79. doi: 10.11999/JEIT150394. GUO Shenglong, LI Yang, HONG Wen, et al. Vertical parameters estimation of forest with compact polarimetric SAR interferometric data[J]. Journal of Electronics Information Technology, 2016, 38(1): 71-79. doi: 10.11999/ JEIT150394. METTE T. Forest biomass estimation from polarimetric SAR interferometry[D]. [Ph.D. dissertation], Germany: Technische Universitaet Muenchen, 2006. 馮琦, 陳爾學(xué), 李增元, 等. 基于機(jī)載P-波段全極化SAR數(shù)據(jù)的復(fù)雜地形森林地上生物量估測(cè)方法[J]. 林業(yè)科學(xué), 2016, 52(3): 10-22. doi: 10.11707/j.1001-7488.20160302. FENG Qi, CHEN Erxue, LI Zengyuan, et al. Forest above-ground biomass estimation method for rugged terrain based on airborne P-band PolSAR data[J]. Scientia Silvae Sinicae, 2016, 52(3): 10-22. doi: 10.11707/j.1001-7488.20160302. TREUHAFT R N and SIQUEIRA P R. The vertical structure of vegetated land surfaces from interferometric and polarimetric radar[J]. Radio Science, 2000, 35(1): 141-177. doi: 10.1029/1999RS900108. 丁克良, 沈云中, 歐吉坤. 整體最小二乘法直線擬合[J]. 遼寧工程技術(shù)大學(xué)學(xué)報(bào)(自然科學(xué)版), 2010, 29(1): 44-47. doi: 1008-0562(2010)01-0044-04. DING Keliang, SHEN Yunzhong, and OU Jikun. Methods of line-fitting based on total least squares[J]. Journal of Liaoning Technical University (Natural Science), 2010, 29(1): 44-47. doi: 1008-0562(2010)01-0044-04. 許麗穎, 李世強(qiáng), 鄧云凱, 等. 基于極化干涉SAR 反演植被高度的改進(jìn)三階段算法[J]. 雷達(dá)學(xué)報(bào), 2014, 3(1): 28-34. doi: 10.3724/SP.J.1300.2014.13089. XU Liying, LI Shiqiang, DENG Yunkai, et al. Improved three-stage algorithm of forest height retrieval with PolInSAR[J]. Journal of Radars, 2014, 3(1): 28-34. doi: 10.3724/SP.J.1300.2014.13089. YI C, YAMAGUCHI Y, YAMADA H, et al. PolInSAR coherence region modeling and inversion: The best normal matrix approximation solution[J]. IEEE Transactions on Geoscience Remote Sensing, 2015, 53(2): 1048-1060. doi: 10.1109/TGRS.2014.2332553. CLOUDE S R. Polarisation: Applications in Remote Sensing[M]. Oxford University Press, 2009. ZACHLIN P F and HOCHSTENBACH M E. On the numerical range of a matrix[J]. Linear Multilinear Algebra, 2008, 56(1): 185-225. POTTIER E. ProSARPro_v4.2.0[OL]. https://earth.esa. int/web/polsarpro, 2012. -
計(jì)量
- 文章訪問(wèn)數(shù): 1088
- HTML全文瀏覽量: 99
- PDF下載量: 334
- 被引次數(shù): 0