遥感信息
遙感信息
요감신식
Remote Sensing Information
2015年
5期
69-76
,共8页
刘寒%冯莉%朱榴骏%黄银友
劉寒%馮莉%硃榴駿%黃銀友
류한%풍리%주류준%황은우
城市植被%时空分辨率%HJ NDVI 时间序列%滤波%南京市
城市植被%時空分辨率%HJ NDVI 時間序列%濾波%南京市
성시식피%시공분변솔%HJ NDVI 시간서렬%려파%남경시
urban vegetation%spatio-temporal resolution%HJ NDVI time-series%filtering%Nanjing city
由于环境卫星成像条件和卫星平台的限制,针对环境卫星归一化植被指数(HJ NDVI)时间序列中存在较多噪音的现象,该文比较分析了 Savitzky-Golay(S-G)滤波法、非对称高斯函数拟合法(AG)、双逻辑曲线拟合法(DL)和时间序列谐波分析法(Hants)4种滤波算法。建立了南京市典型植被类型区域的 HJ NDVI 时间序列,对4种滤波方法进行实验。对比纯像元样点、样区的滤波结果以及滤波后5类典型植被的分类精度,评价4种滤波方法的滤波效果,并利用 MODIS NDVI 时序数据验证结果可靠性。结果表明:滑动窗口大小为5的 S-G 滤波的滤波效果最佳。该研究结论为基于 HJ NDVI 时间序列的应用研究滤波方法选择提供参考。
由于環境衛星成像條件和衛星平檯的限製,針對環境衛星歸一化植被指數(HJ NDVI)時間序列中存在較多譟音的現象,該文比較分析瞭 Savitzky-Golay(S-G)濾波法、非對稱高斯函數擬閤法(AG)、雙邏輯麯線擬閤法(DL)和時間序列諧波分析法(Hants)4種濾波算法。建立瞭南京市典型植被類型區域的 HJ NDVI 時間序列,對4種濾波方法進行實驗。對比純像元樣點、樣區的濾波結果以及濾波後5類典型植被的分類精度,評價4種濾波方法的濾波效果,併利用 MODIS NDVI 時序數據驗證結果可靠性。結果錶明:滑動窗口大小為5的 S-G 濾波的濾波效果最佳。該研究結論為基于 HJ NDVI 時間序列的應用研究濾波方法選擇提供參攷。
유우배경위성성상조건화위성평태적한제,침대배경위성귀일화식피지수(HJ NDVI)시간서렬중존재교다조음적현상,해문비교분석료 Savitzky-Golay(S-G)려파법、비대칭고사함수의합법(AG)、쌍라집곡선의합법(DL)화시간서렬해파분석법(Hants)4충려파산법。건립료남경시전형식피류형구역적 HJ NDVI 시간서렬,대4충려파방법진행실험。대비순상원양점、양구적려파결과이급려파후5류전형식피적분류정도,평개4충려파방법적려파효과,병이용 MODIS NDVI 시서수거험증결과가고성。결과표명:활동창구대소위5적 S-G 려파적려파효과최가。해연구결론위기우 HJ NDVI 시간서렬적응용연구려파방법선택제공삼고。
HJ-1A/B NDVI (HJ NDVI)time-series data possess relatively high spatio-temporal resolution.However,due to the restrictions of HJ satellite's imaging conditions and limits of the satellite platform,HJ NDVI time series are polluted by noises.Finding the most optimal filtering algorithm can be the key to solve this problem.This study introduced four kinds of filters including the asymmetric Gaussian fitting method (AG),the double logistic curve fitting method (DL),the Savitzky-Golay (SG)filtering method and the harmonic analysis of NDVI time-series (Hants).HJ NDVI time series of typical vegetation region in Nanjing city are established,and filtering experiments of the four filters are performed on them.Filtering results of the pure pixel sample points and the sample zones as well as the five typical vegetation's classification accuracy of the filtered data are compared to evaluate the performance of the four filters and finally MODIS NDVI tine-series data are included to test the reliability of the four filters.The results show that the S-G filter with a sliding window edge length of 5 has the best performance.Conclusions of this study can provide reference for filter selection of HJ NDVI time series based research.