The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Este artigo apresenta um esquema de classificação de coníferas e árvores de folhas largas que processa dados de abertura sintética polarimétrica de alta resolução acima da banda X. Para validar a proposta, medições totalmente polarimétricas são realizadas em um ambiente precisamente controlado para examinar a diferença entre os mecanismos de dispersão de árvores coníferas e de folhas largas a 15GHz. Com resolução de faixa de 3.75 cm, matrizes de espalhamento de dois tipos de árvores foram medidas por um analisador de rede vetorial. Análises polarimétricas usando a decomposição do poder de espalhamento de 4 componentes e o ângulo da barra alfa da decomposição de valores próprios produziram uma distinção clara entre os dois tipos de árvores. Este esquema também foi aplicado a um conjunto de dados Pi-SAR2 de banda X. Os resultados confirmam que é possível distinguir entre tipos de árvores usando dados totalmente polarimétricos e de alta resolução acima da banda X.
Yoshio YAMAGUCHI
Niigata University
Yuto MINETANI
Niigata University
Maito UMEMURA
Niigata University
Hiroyoshi YAMADA
Niigata University
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Yoshio YAMAGUCHI, Yuto MINETANI, Maito UMEMURA, Hiroyoshi YAMADA, "Experimental Validation of Conifer and Broad-Leaf Tree Classification Using High Resolution PolSAR Data above X-Band" in IEICE TRANSACTIONS on Communications,
vol. E102-B, no. 7, pp. 1345-1350, July 2019, doi: 10.1587/transcom.2018EBP3288.
Abstract: This paper presents a conifer and broad-leaf tree classification scheme that processes high resolution polarimetric synthetic aperture data above X-band. To validate the proposal, fully polarimetric measurements are conducted in a precisely controlled environment to examine the difference between the scattering mechanisms of conifer and broad-leaf trees at 15GHz. With 3.75cm range resolution, scattering matrices of two tree types were measured by a vector network analyzer. Polarimetric analyses using the 4-component scattering power decomposition and alpha-bar angle of eigenvalue decomposition yielded clear distinction between the two tree types. This scheme was also applied to an X-band Pi-SAR2 data set. The results confirm that it is possible to distinguish between tree types using fully polarimetric and high-resolution data above X-band.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2018EBP3288/_p
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@ARTICLE{e102-b_7_1345,
author={Yoshio YAMAGUCHI, Yuto MINETANI, Maito UMEMURA, Hiroyoshi YAMADA, },
journal={IEICE TRANSACTIONS on Communications},
title={Experimental Validation of Conifer and Broad-Leaf Tree Classification Using High Resolution PolSAR Data above X-Band},
year={2019},
volume={E102-B},
number={7},
pages={1345-1350},
abstract={This paper presents a conifer and broad-leaf tree classification scheme that processes high resolution polarimetric synthetic aperture data above X-band. To validate the proposal, fully polarimetric measurements are conducted in a precisely controlled environment to examine the difference between the scattering mechanisms of conifer and broad-leaf trees at 15GHz. With 3.75cm range resolution, scattering matrices of two tree types were measured by a vector network analyzer. Polarimetric analyses using the 4-component scattering power decomposition and alpha-bar angle of eigenvalue decomposition yielded clear distinction between the two tree types. This scheme was also applied to an X-band Pi-SAR2 data set. The results confirm that it is possible to distinguish between tree types using fully polarimetric and high-resolution data above X-band.},
keywords={},
doi={10.1587/transcom.2018EBP3288},
ISSN={1745-1345},
month={July},}
Copiar
TY - JOUR
TI - Experimental Validation of Conifer and Broad-Leaf Tree Classification Using High Resolution PolSAR Data above X-Band
T2 - IEICE TRANSACTIONS on Communications
SP - 1345
EP - 1350
AU - Yoshio YAMAGUCHI
AU - Yuto MINETANI
AU - Maito UMEMURA
AU - Hiroyoshi YAMADA
PY - 2019
DO - 10.1587/transcom.2018EBP3288
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E102-B
IS - 7
JA - IEICE TRANSACTIONS on Communications
Y1 - July 2019
AB - This paper presents a conifer and broad-leaf tree classification scheme that processes high resolution polarimetric synthetic aperture data above X-band. To validate the proposal, fully polarimetric measurements are conducted in a precisely controlled environment to examine the difference between the scattering mechanisms of conifer and broad-leaf trees at 15GHz. With 3.75cm range resolution, scattering matrices of two tree types were measured by a vector network analyzer. Polarimetric analyses using the 4-component scattering power decomposition and alpha-bar angle of eigenvalue decomposition yielded clear distinction between the two tree types. This scheme was also applied to an X-band Pi-SAR2 data set. The results confirm that it is possible to distinguish between tree types using fully polarimetric and high-resolution data above X-band.
ER -