CAJ | 학술논문

利用极化干涉合成孔径雷达(Polarimetric Interferometry SAR, PolInSAR)数据反演森林参数问题为当前PolInSAR 研究的热点问题。经典的森林参数反演算法是基于随机散射体模型(Random Volume over Ground, RVoG)的阶段反演算法，该算法中直线拟合误差和体散射估计误差会严重影响反演精度。为了提高树高估计精度，该文使用整体最小二乘法直线拟合得到更精确的地表相位估计结果，并提出以Gamma函数为线性度量自适应地估计体散射去相干，得到了改进的PolInSAR三阶段反演算法，实验结果表明改进算法可靠有效。
이용겁화간섭합성공경뢰체(Polarimetric Interferometry SAR, PolInSAR)수거반연삼림삼수문제위당전PolInSAR 연구적열점문제。경전적삼림삼수반연산법시기우수궤산사체모형(Random Volume over Ground, RVoG)적계단반연산법，해산법중직선의합오차화체산사고계오차회엄중영향반연정도。위료제고수고고계정도，해문사용정체최소이승법직선의합득도경정학적지표상위고계결과，병제출이Gamma함수위선성도량자괄응지고계체산사거상간，득도료개진적PolInSAR삼계단반연산법，실험결과표명개진산법가고유효。
Employing Polarimetric Interferometry Synthetic Aperture Radar (PolInSAR) data to inverse forest parameters is a hot topic in the research field of PolInSAR. The typical forest parameter inversion algorithm is the three-stage inversion algorithm based on Random Volume over Ground (RVoG) model. The errors of linear fitting and volume scattering correlation estimation are the major factors for parameter estimation accuracy. In this paper, straight line fitting employing the total least squares method is used to estimate the ground phase. Then, the Gamma function is applied as the line measure to adaptively estimate the volume scattering correlation. The improved three-stage inversion algorithm with PolInSAR is presented. The experiment result proves the forest parameters inversion result is accurate and reliable.