CAJ | 학술논문

利用目前时间序列曲线重构中较为常用的非对称高斯函数拟合、Double-Logistic 曲线拟合、S-G 滤波和时间序列谐波分析法对环境星 NDVI 时间序列进行重构处理。分析了上述4种植被指数时间序列重构方法对环境星数据的适用性。实验结果表明，对于环境星数据，在4种方法中非对称高斯函数拟合、Double-Logistic 曲线拟合法更适用于对植被地物的时间序列进行重构，对照参考数据，其重构曲线对植被物候的表达有较高的一致性；而时间序列谐波分析法对原始数据的扰动最小，适用于非植被地物的时间序列重构；S-G 滤波在4种方法中的重构效果最差。
이용목전시간서렬곡선중구중교위상용적비대칭고사함수의합、Double-Logistic 곡선의합、S-G 려파화시간서렬해파분석법대배경성 NDVI 시간서렬진행중구처리。분석료상술4충식피지수시간서렬중구방법대배경성수거적괄용성。실험결과표명，대우배경성수거，재4충방법중비대칭고사함수의합、Double-Logistic 곡선의합법경괄용우대식피지물적시간서렬진행중구，대조삼고수거，기중구곡선대식피물후적표체유교고적일치성；이시간서렬해파분석법대원시수거적우동최소，괄용우비식피지물적시간서렬중구；S-G 려파재4충방법중적중구효과최차。
In this paper,we compared the performance of four NDVI time-series reconstruction methods,including asymmetric Guassian function fitting (A-G),double logistic function fitting (D-L),Savitzky-Golay filtering method (S-G)and harmonic analysis of time series (Hants),on processing the imagery of China’s HJ satellites.Results show that A-G and D-L are more suitable for reconstruction of vegetation features,comparing with the reference data.The reconstruction curves of A-G and D-L have high consistency in expression vegetation phenology.Hants brings minimal disturbance of the original data and fits for reconstruction of architectural features and water features.S-G performs worst.