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
Cet article présente un système de classification des conifères et des feuillus qui traite les données d'ouverture synthétique polarimétrique haute résolution au-dessus de la bande X. Pour valider la proposition, des mesures entièrement polarimétriques sont effectuées dans un environnement contrôlé avec précision pour examiner la différence entre les mécanismes de diffusion des conifères et des feuillus à 15 GHz. Avec une résolution de 3.75 cm, les matrices de diffusion de deux types d'arbres ont été mesurées par un analyseur de réseau vectoriel. Les analyses polarimétriques utilisant la décomposition du pouvoir de diffusion à 4 composantes et l'angle de la barre alpha de la décomposition des valeurs propres ont permis d'établir une distinction claire entre les deux types d'arbres. Ce schéma a également été appliqué à un ensemble de données Pi-SAR2 en bande X. Les résultats confirment qu'il est possible de distinguer les types d'arbres en utilisant des données entièrement polarimétriques et à haute résolution au-dessus de la bande X.
Yoshio YAMAGUCHI
Niigata University
Yuto MINETANI
Niigata University
Maito UMEMURA
Niigata University
Hiroyoshi YAMADA
Niigata University
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Copier
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
Copier
@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},}
Copier
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 -