The potential of Chinese airborne X band PolInSAR data for forest parameters estimation(Poster Session I -Radar and SAR Technologies-,ICSANE 2010 (International Conference on Space, Aeronautical and Navigational Electronics))
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概要
- 論文の詳細を見る
In this paper the potential of airborne single baseline high resolution X band polarimetric radar interferometry (PolInSAR) data for forest parameters estimation is investigated. The PolInSAR data were acquired by East China Research Institute of Electronic Engineering, CETC, over the test site near Sanya city, Hainan Province of China with temporal baseline equaling to 0. To quantify the PolInSAR information about forest contained in X band data, some L band classical algorithms for vegetation parameters estimation, i.e. ESPRIT technique, the hybrid method of ESPRIT and three stages procedure, and RV model are applied to X band data. The results are compared with in situ measurements. The forest height retrieved by ESPRIT algorithm is 13.8m and retrieved by hybrid method is 14.9m; both of them are close to insitu measurements. The tree height is overestimated in order of 5.5m by RV model. The experiment results demonstrate that Chinese airborne X band PolInSAR data could be used to retrieve forest height.
- 社団法人電子情報通信学会の論文
- 2010-10-20
著者
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Wang Chao
Key Laboratory For Radiation Beam Technology And Materials Modification Institute Of Low Energy Nucl
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Wang Chao
Key Laboratory Of Digital Earth Center For Earth Observation And Digital Earth
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Zhang Hong
Key Laboratory of Digital Earth, Center for earth observation and Digital Earth
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Chen Jiehong
Key Laboratory of Digital Earth, Center for earth observation and Digital Earth
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Jiang Kai
East China Research Institute of Electronic Engineering
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Chen Jiehong
Key Laboratory Of Digital Earth Center For Earth Observation And Digital Earth:graduate University O
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Zhang Hong
Key Laboratory Of Digital Earth Center For Earth Observation And Digital Earth
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Wang Chao
Key Laboratory For Biomechanics And Mechanobiology Of Ministry Of Education School Of Biological Sci
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