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".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
본 논문에서는 편광 합성 개구 레이더(SAR) 간섭계의 편광 특성과 간섭성 분해 가능성을 조사합니다. 일관성 최적화를 기반으로 한 일관성 산란 분해는 다양한 산란 메커니즘의 효과적인 위상 중심을 분리할 수 있으며 캐노피 디지털 표고 모델(DEM)을 생성하는 데 사용될 수 있습니다. 이 분해는 산림 캐노피와 같은 단순화된 확률론적 산란 모델에 적용됩니다. 그러나 분해를 수행할 때 편광 특성은 잘 이해되지 않기 때문에 편광 엔트로피-알파 분해와 3성분 산란 행렬 분해를 사용하여 그 특성과 잠재력을 조사합니다. 결과는 이상적인 경우 첫 번째 및 세 번째 구성 요소가 각각 하위 레이어 및 상위 레이어에 해당함을 보여줍니다. 이 조사에서는 Tien Shan 비행 패스의 SIR-C/X-SAR 데이터가 사용됩니다.
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부
Koichi SATO, Hiroyoshi YAMADA, Yoshio YAMAGUCHI, "Polarimetric Characteristics of Forest at Coherent Decomposition in Polarimetric SAR Interferometry" in IEICE TRANSACTIONS on Electronics,
vol. E84-C, no. 12, pp. 1829-1834, December 2001, doi: .
Abstract: In this paper, we examine the polarimetric characteristics and the potential of the coherent decomposition in polarimetric synthetic aperture radar (SAR) interferometry. Coherent scattering decomposition based on the coherence optimization can separate effective phase center of different scattering mechanisms and can be used to generate canopy digital elevation model (DEM). This decomposition is applied to a simplified stochastic scattering model such as forest canopy. However, since the polarimetric characteristics are not well understood when the decomposition is carried out, we investigate its characteristics and potential using polarimetric entropy-alpha and three-component scattering matrix decomposition. The results show that the first and third components correspond to the lower and upper layer, respectively, in ideal case. In this investigation, SIR-C/X-SAR data of the Tien Shan flight-pass are used.
URL: https://global.ieice.org/en_transactions/electronics/10.1587/e84-c_12_1829/_p
부
@ARTICLE{e84-c_12_1829,
author={Koichi SATO, Hiroyoshi YAMADA, Yoshio YAMAGUCHI, },
journal={IEICE TRANSACTIONS on Electronics},
title={Polarimetric Characteristics of Forest at Coherent Decomposition in Polarimetric SAR Interferometry},
year={2001},
volume={E84-C},
number={12},
pages={1829-1834},
abstract={In this paper, we examine the polarimetric characteristics and the potential of the coherent decomposition in polarimetric synthetic aperture radar (SAR) interferometry. Coherent scattering decomposition based on the coherence optimization can separate effective phase center of different scattering mechanisms and can be used to generate canopy digital elevation model (DEM). This decomposition is applied to a simplified stochastic scattering model such as forest canopy. However, since the polarimetric characteristics are not well understood when the decomposition is carried out, we investigate its characteristics and potential using polarimetric entropy-alpha and three-component scattering matrix decomposition. The results show that the first and third components correspond to the lower and upper layer, respectively, in ideal case. In this investigation, SIR-C/X-SAR data of the Tien Shan flight-pass are used.},
keywords={},
doi={},
ISSN={},
month={December},}
부
TY - JOUR
TI - Polarimetric Characteristics of Forest at Coherent Decomposition in Polarimetric SAR Interferometry
T2 - IEICE TRANSACTIONS on Electronics
SP - 1829
EP - 1834
AU - Koichi SATO
AU - Hiroyoshi YAMADA
AU - Yoshio YAMAGUCHI
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Electronics
SN -
VL - E84-C
IS - 12
JA - IEICE TRANSACTIONS on Electronics
Y1 - December 2001
AB - In this paper, we examine the polarimetric characteristics and the potential of the coherent decomposition in polarimetric synthetic aperture radar (SAR) interferometry. Coherent scattering decomposition based on the coherence optimization can separate effective phase center of different scattering mechanisms and can be used to generate canopy digital elevation model (DEM). This decomposition is applied to a simplified stochastic scattering model such as forest canopy. However, since the polarimetric characteristics are not well understood when the decomposition is carried out, we investigate its characteristics and potential using polarimetric entropy-alpha and three-component scattering matrix decomposition. The results show that the first and third components correspond to the lower and upper layer, respectively, in ideal case. In this investigation, SIR-C/X-SAR data of the Tien Shan flight-pass are used.
ER -