Advanced Search
Volume 41 Issue 2
Jan.  2019
Turn off MathJax
Article Contents
Jinwei XIE, Zhiyong SUO, Zhenfang LI, Yuekun WANG. High-precision Digital Surface Model Inversion Approach in Forest Region Based on PolInSAR[J]. Journal of Electronics & Information Technology, 2019, 41(2): 293-301. doi: 10.11999/JEIT180387
Citation: Jinwei XIE, Zhiyong SUO, Zhenfang LI, Yuekun WANG. High-precision Digital Surface Model Inversion Approach in Forest Region Based on PolInSAR[J]. Journal of Electronics & Information Technology, 2019, 41(2): 293-301. doi: 10.11999/JEIT180387

High-precision Digital Surface Model Inversion Approach in Forest Region Based on PolInSAR

doi: 10.11999/JEIT180387
Funds:  The National Natural Science Foundation of China (61471276, 61671355, 61601298)
  • Received Date: 2018-04-26
  • Rev Recd Date: 2018-09-11
  • Available Online: 2018-09-25
  • Publish Date: 2019-02-01
  • The general method for inversion of Digital Surface Model (DSM) in forest region has great errors due to the inestimable waves’ penetration depth. For this problem, an approach to inversion of high-precision DSM is proposed. First, the phases of high and low scattering phase centers of the waves in forest are obtained by maximizing the phase separation of the coherence optimization. Then, the normal height variation models of the high and low scattering centers with extinction factors are constructed. According to the models, the least penetration depth of the waves in forest is acquired. Eventually, by implementing the interferometric technique on the phase of high scattering phase center, a coarse DSM is retrieved, and a high-precision DSM is developed by compensating the least penetration depth to the coarse one. The validation of the method is investigated by simulated datasets of PolSARpro under different tree species and different forest heights and by airborne real datasets. It shows that the proposed method can improve the accuracy on the inversion of DSM effectively in forest region.

  • loading
  • ROSEN P A, HENSLEY S, JOUGHIN I R, et al. Synthetic aperture radar interferometry[J]. Proceedings of IEEE, 2000, 88(3): 333–382. doi: 10.1109/5.838084
    CLARK M L, CLARK D B, and ROBERTS D A. Small-footprint Lidar estimation of sub-canopy elevation and tree height in a tropical rain forest landscape[J]. Remote Sensing of Environment, 2004, 91(1): 68–89. doi: 10.1016/j.rse.2004.02.008
    ANDERSEN H E, REUTEBUCH S E, and MCGAUGHEY R J. Active Remote Sensing[M]. Netherlands: Springer, 2006: 43–66. doi: 10.1007/978-1-4020-4387-1_3.
    GUSTAVO H X, KARLUS A, CAMARA D M, et al. The dual-band PolInSAR method for forest parametrization[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 9(7): 3189–3201. doi: 10.1109/JSTARS.2016.2520900
    GONZÁLEZ C, BRÄUTIGAM B, RIZZOLI P, et al. Relative height accuracy analysis of Tandem-X DEM products[C]. The 11th European Conference on Synthetic Aperture Radar, Hamburg, Germany, 2016: 1172–1176.
    YASER S, BENOÎT S, BRIGITTE L, et al. Canopy Height Model (CHM) derived from a TanDEM-X InSAR DSM and an airborne lidar DTM in boreal forest[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9(1): 381–397. doi: 10.1109/JSTARS.2015.2512230
    周伟, 陈尔学, 刘国林, 等. 基于ALOS极化干涉SAR数据的DEM提取方法研究[J]. 遥感技术与应用, 2013, 28(1): 44–51. doi: 10.11873/j.issn.1004-0323.2013.1.44

    ZHOU Wei, CHEN Erxue, LIU Guolin, et al. Extract DEM from ALOS based on polarinetric SAR Interferometry[J]. Remote Sensing Technology and Application, 2013, 28(1): 44–51. doi: 10.11873/j.issn.1004-0323.2013.1.44
    龙江平, 刘峰, 段祝庚. 联合干涉相位和相干性幅度的极化干涉SAR最优相干性估计[J]. 测绘学报, 2017, 46(1): 73–82. doi: 10.11947/j.AGCS.2017.20150509

    LONG Jiangping, LIU Feng, and DUAN Zhugeng. A new method of coherence optimization based on the phase and coherence magnitude in polarimetric SAR interferometry[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(1): 73–82. doi: 10.11947/j.AGCS.2017.20150509
    KUGLER F, LEE S K, HAJNSEK I, et al. Forest height estimation by means of Pol-InSAR data inversion: The role of the vertical wavenumber[J]. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(10): 5294–5311. doi: 10.1109/TGRS.2015.2420996
    CLOUDE S R. Polarization Application in Remote Sensing[M]. Oxford: Oxford University Press, 2009: 265–274.
    卢红喜, 宋文青, 李飞, 等. 基于幅相一致性校正的稳健植被参数反演方法[J]. 电子与信息学报, 2015, 37(2): 283–290. doi: 10.11999/JEIT140261

    LU Hongxi, SONG Wenqing, LI Fei, et al. Forest parameters inversion based on nonstationarity compensation and mapping space regularization[J]. Journal of Electronics &Information Technology, 2015, 37(2): 283–290. doi: 10.11999/JEIT140261
    孙宁霄, 吴琼之, 孙林. 基于PolInSAR相干区域的最优正规矩阵近似解的地形与树高估计[J]. 电子与信息学报, 2017, 39(5): 1051–1057. doi: 10.11999/JEIT160774

    SUN Ningxiao, WU Qiongzhi, and SUN Lin. Topography and tree height estimation based on the best normal matrix approximation for polinsar coherence region[J]. Journal of Electronics &Information Technology, 2017, 39(5): 1051–1057. doi: 10.11999/JEIT160774
    FRANCK G and THUY L T. Forest modeling for height inversion using single-baseline InSAR/Pol-InSAR data[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(3): 1528–1539. doi: 10.1109/TGRS.2009.2032538
    LAGARIAS J C, REEDS J A, WRIGHT M H, et al. Convergence properties of the nelder-mead simplex method in low dimensions[J]. SIAM Journal of Optimization, 1998, 9(1): 112–147. doi: 10.1137/S1052623496303470
    BANDA F and TEBALDINI S. Texture-free absolute DEM retrieval from opposite-side multibaseline InSAR data[J]. IEEE Geoscience and Remote Sensing Letters, 2016, 13(1): 43–47. doi: 10.1109/LGRS.2015.2494684
    CHOI C and KIM D J. Optimum baseline of a single-pass InSAR system to generate the best DEM in tidal flats[J]. IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing, 2018, 11(3): 919–929. doi: 10.1109/JSTARS.2018.2795107
    BRYAN M, ZHANG Q P, MARCUS S, et al. Extraction of DTM beneath forest canopy using a combination of X-Band InSAR and L-band PolInSAR data[C]. European Conference on Synthetic Aperture Radar, Aachen, Germany, 2010: 821–824.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(7)  / Tables(2)

    Article Metrics

    Article views (1498) PDF downloads(69) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return