【摘要】 为解决水稻种植面积提取过程中的数据缺失问题,提出了一种利用遥感数据时空融合技术提取水稻种植面积的方法。该方法从时序MODIS数据中提取地物的时间变化信息,结合早期Landsat-ETM+影像的纹理信息,融合出具有MODIS时间分辨率和ETM+空间分辨率的影像,再利用关键期的高时空分辨率融合影像,利用光谱角分类法进行水稻种植面积的提取。以江苏省南京市江宁区为研究区对该方法进行了测试。结果显示,该方法能够有效的提取水稻种植面积,水稻种植面积提取精度为93%,Kappa系数为0.96。更多还原

【Abstract】 In order to solve the problem of data loss in mapping paddy fields,a novel rice extraction method was proposed in this paper by using spatial and temporal remote sensing data fusion technology(STDFT).Using the temporal change information extracted from time series MODIS data,combining with the texture information of Landsat-ETM+ data at former,fusion data was produced which had the same temporal resolution with MODIS data and the same spatial resolution with Landsat-ETM+ image.Then using fusion data in critical period,rice fields was mapped through SVM.The algorithm had been tested over a study area in Jiangning Country,Nanjing City,Jiangsu Province,China.Results showed that this method could map rice effectively.High mapping precision of 93% was acquired with Kappa coefficient of 0.96更多还原