Earticle

초록

영어

Forest height is one of the most important vegetation vertical structure for many forest management activities. It is closely related with forest biomass and absorption of carbon. PolInSAR is a promising remote sensing technique that has been frequently used for extracting forest height. Recently, there have been plenty of research on the retrieval of vegetation parameters by single frequency single baseline PolInSAR such as the ESPRIT method, three-stage inversion. However, these methods tend to underestimate the forest height due to attenuations of the electromagnetic waves in the ground medium. This paper proposes a method to improve the accuracy of forest height estimation. This method is based on a fusion of hybrid method extracting forest parameters and the coherence amplitude method. The proposed algorithm performance is evaluated with simulated data from PolSARProSim software and ALOS PALSAR L-band polarimetric interferometric SAR data.

목차

Abstract
 1. Introduction
 2. Ground Phase Estimated using TLS Line Fit Method and ESPRIT Algorithm
  2.1. Scattering Model
  2.2. Underlying Ground Topography Phase Estimation using Total Least Squares Line Fit Model
  2.3. ESPIRT Algorithm
 3. Forest Height Estimation using Hybrid Method with Compensate
  3.1. A Hybrid Method Extracting Forest Height
  3.2. Height Estimation from Coherence Amplitude Only
  3.3. Forest Height Estimation from L-band Single-Baseline PolInSAR Data using the Proposed Method
 4. Experimental Results and Discussion
  4.1. Simulated PolInSAR data
  4.2. Space Borne PolInSAR Data
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• Nghia Pham Minh [ Dept. of Information Engineering, Harbin Institute of Technology, Harbin, China ]
• Chengyi Wang [ Forestry Research Institute of Heilongjang Province, Harbin, China ] Corresponding author
• Bin Zou [ Dept. of Information Engineering, Harbin Institute of Technology, Harbin, China ]
• Quang Thi Nguyen [ School of Electronics and Information engineering, Changchun University of Science and Technology ]
• Van Nhu Le [ Research center for Space Optics Engineering, Harbin Institute of Technology, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605