원문정보
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
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