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A Modified Capon Method for SAR Tomography Over Forest  ( SCI-EXPANDED收录 EI收录)   被引量:8

文献类型:期刊文献

英文题名:A Modified Capon Method for SAR Tomography Over Forest

作者:Lu, Hongliang[1,2] Fan, Huaitao[1] Zhang, Heng[1] Liu, Dacheng[1] Zhao, Lei[3]

第一作者:Lu, Hongliang

通信作者:Fan, HT[1]

机构:[1]Chinese Acad Sci, Aerosp Informat Res Inst, Space Microwave Remote Sensing Syst Dept, Beijing 100094, Peoples R China;[2]Univ Chinese Acad Sci, Sch Elect Elect & Commun Engn, Beijing 100039, Peoples R China;[3]Chinese Acad Forestry, Res Inst Forest Resources Informat Tech, Beijing 100091, Peoples R China

年份:2022

卷号:19

外文期刊名:IEEE GEOSCIENCE AND REMOTE SENSING LETTERS

收录:;EI(收录号:20210409805562);Scopus(收录号:2-s2.0-85099542171);WOS:【SCI-EXPANDED(收录号:WOS:000732271400001)】;

基金:This work was supported in part by the National Key Research and Development Program of China under Grant 2017YFB0502700 and in part by the National Natural Science Fund under Grant 61901442 and Grant 61901443.

语种:英文

外文关键词:Forestry; Estimation; Synthetic aperture radar; Optical wavelength conversion; Multiple signal classification; Tomography; Radar polarimetry; Forest structure; modified-Capon (M-Capon) method; synthetic aperture radar (SAR) tomography (TomoSAR)

摘要:The 3-D structure of forests is an important indicator for evaluating forest health and can provide data support for ecological monitoring and protection. Synthetic aperture radar (SAR) tomography (TomoSAR) is an important technology for forest structure estimation using the multibaseline (MB) SAR data stacks. The spectral estimators, such as the Capon method, are usually used to estimate the 3-D reflectivity along elevation direction. In this letter, a modified Capon (M-Capon) method is proposed to improve the estimated profiles of ground and canopy scatterers in the elevation direction, including the estimation accuracy and resolution. This method combines the ideas of the CLEAN algorithm with the Capon method and uses iteration to improve the resolution and accuracy of the estimation. The effectiveness of the M-Capon method is demonstrated using the simulated data and the MB SAR data acquired by the P-band airborne SAR system over the Saihanba Forest Farm in Hebei, China.

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