CAJ | 학술논문

基于相干性和离散视数，建立PALSAR干涉可检测的最大和最小形变梯度的经验函数模型。在此基础上，采用最小二乘回归的方法拟合模型系数，建立关于相干性和视数两个参数的统一函数模型。利用汶川地区的PALSAR数据进行实验，结果表明该模型能够准确判别地表变形能否被D-InSAR技术检测到。研究结果可以帮助研究人员准确选择PALSAR数据和合理配置其干涉处理参数，对解释地表形变结果也具有重要的价值。
기우상간성화리산시수，건립PALSAR간섭가검측적최대화최소형변제도적경험함수모형。재차기출상，채용최소이승회귀적방법의합모형계수，건립관우상간성화시수량개삼수적통일함수모형。이용문천지구적PALSAR수거진행실험，결과표명해모형능구준학판별지표변형능부피D-InSAR기술검측도。연구결과가이방조연구인원준학선택PALSAR수거화합리배치기간섭처리삼수，대해석지표형변결과야구유중요적개치。
Empirical functional models for the maximum and minimum detectable deformation gradient of PALSAR interferometry were established based on coherence and discrete look numbers. Then, a least square regression method was used to fit the model coefficients and thus obtain the generalized functional models for both coherence and look numbers. The experimental results with ALOS PALSAR data of Wenchuan earthquake of China show that the new model works well for judging whether the deformation gradient can be detected by the D-InSAR technology or not. The results can help researchers to choose PALSAR data and to configure processing parameters, and also benefit the interpretation of the measured surface deformation.