Skip to main content
SpringerLink
Log in

An Improved Forest Height Inversion Method Using Dual-Polarization PolInSAR Data

  • Conference paper
  • First Online:
Industrial Networks and Intelligent Systems (INISCOM 2020)

  • 407 Accesses

Abstract

The Extended 3-stage method has somewhat improved the precision of estimating forest parameters of the traditional 3-stage inversion method. However, the topography phase and optimal volume coherence coefficient determined by this method are not really optimal, that lead to the forest parameters estimation of this method is unstable and inaccuracy. Therefore, this paper proposes an improved forest height inversion method by dual-polarization channel PolInSAR data to enhance the precision of forest parameters extraction. In the suggested approach, the surface phase is calculated based on the mean coherence set theory. A comprehensive search method is then proposed to determine the polarization channels corresponding to the optimal polarization channel coherence coefficients for the volume scattering component. The effectiveness of the suggested approach was assessed with simulation data from PolSARprosim 5.2 software. The empirical results show that the suggested approach not only improves the effectiveness of the forest parameters estimation of the extended 3-stage method but also reduces the complexity in the calculation.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Mette, T., Papathanassiou, K.P., Hajnsek, I., Pretzsch, H., Biber, P.: Applying a common allometric equation to convert forest height from Pol-InSAR data to forest biomass. In: Proceedings of the IGARSS, Anchorage, AK, USA, pp. 272–276 (2004)

    Google Scholar 

  2. Cai, H., Zou, B., Lin, M.: Parameter inversion model base on PolInSAR images. In: Proceedings of APSAR 2007, Huangshan, 5–9 November 2007, pp. 751–754 (2007)

    Google Scholar 

  3. Papathanssiou, K.P., Cloud, S.R.: Single baseline polarimetric SAR interferometry. IEEE Trans. Geosci. Remote Sens. 39(11), 2352–2363 (2001)

    Article  Google Scholar 

  4. Cloud, S.R., Papathanssiou, K.P.: Three-stage inversion process for polarimetric SAR interferometry. IEE Proc. - Radar Sonar Navig. 150(3), 125–134 (2003)

    Article  Google Scholar 

  5. Wenxue, F., Huadong, G., Xinwu, L., Bangsen, T., Zhongchang, S.: Extended three-stage polarimetric SAR interferometry algorithm by dual-polarization data. IEEE Trans. Geosci. Remote Sens. 54(5), 2792–2802 (2016)

    Article  Google Scholar 

  6. Xie, Y., Fu, H., Zhu, J., Wang, C., Xie, Q.: A LiDAR-aided multibaseline PolInSAR method for forest height estimation: with emphasis on dual-baseline selection. IEEE Trans. Geosci. Remote Sens. 17(10), 1807–1811 (2019)

    Article  Google Scholar 

  7. Treuhaft, R.N., Cloude, S.R.: The structure of oriented vegetation from polarimetric interferometry. IEEE Trans. Geosci. Remote Sens. 37(5), 2620–2624 (1999)

    Article  Google Scholar 

  8. Managhebi, T., Maghsoudi, Y., Zoej, M.J.V.: A volume optimization method to improve the three-stage inversion algorithm for forest height estimation using PolInSAR data. IEEE Geosci. Remote Sens. Lett. 15(3), 1214–1218 (2018)

    Article  Google Scholar 

  9. Managhebi, T., Maghsoudi, Y., Zoej, M.J.V.: An improved three-stage inversion algorithm in forest height estimation using single-baseline polarimetric SAR interferometry data. IEEE Geosci. Remote Sens. Lett. 15(6), 887–891 (2018)

    Article  Google Scholar 

  10. Williams, M.L.: PolSARproSim: A Coherent, Polarimetric SAR Simulation of Forest for PolSARProSim (2006). http://earth.eo.esa.int/polsarpro/SimulatedDataSources.html

Download references

Acknowledgments

The research was funded by the Vietnam National Foundation for Science and Technology Development (NAFOSTED) under Grant No. 102.01-2017.04.

Author information

Authors and Affiliations

  1. Faculty of Radio-Electronics, Le Quy Don Technical University, Ha Noi, Viet Nam

    HuuCuong Thieu & MinhNghia Pham

Authors
  1. HuuCuong Thieu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. MinhNghia Pham
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to MinhNghia Pham .

Editor information

Editors and Affiliations

  1. Faculty of Electrical and Electronics Engineering, Duy Tan University, Da Nang, Vietnam

    Nguyen-Son Vo

  2. Le Quy Don Technical University, Hanoi, Vietnam

    Van-Phuc Hoang

Rights and permissions

Reprints and permissions

Copyright information

© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Thieu, H., Pham, M. (2020). An Improved Forest Height Inversion Method Using Dual-Polarization PolInSAR Data. In: Vo, NS., Hoang, VP. (eds) Industrial Networks and Intelligent Systems. INISCOM 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 334. Springer, Cham. https://doi.org/10.1007/978-3-030-63083-6_18

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-63083-6_18

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-63082-9

  • Online ISBN: 978-3-030-63083-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation