【摘要】 利用Landsat-5TM,Landsat-7ETM+和Landsat-8OLI遥感影像数据和高空间分辨率（1.14,0.54m）的Google Earth^TM地面实况图进行水库面积检测与变化监测的技术研究.采用完全约束最小二乘法混合像元分解（FCLS）方法提取不同水库水体信息,并与常用水体指数法及支持向量机（SVM）分类法进行比较,利用多时相FCLS方法监测厦门杏林湾水库2006-2014年间的面积动态变化.结果表明:基于FCLS的方法比NDWI等水体指数方法更能准确地获取水库水体面积大小及其变化信息.更多还原

【Abstract】 We use Landsat-5 TM,Landsat-7 ETM+,and Landsat-8 OLI remote sensing images and high spatial resolution（1.14,0.54 m）Google Earth^TMground truth images to extract surface water and detect changes of reservoir area.Using fully constrained least squares method pixel unmixing（FCLS）method to extracting different reservoir surface water information and compared with water index method and support vector machine（SVM）.Finally,using multi-temporal FCLS method to dynamic monitoring Xinglin Bay Reservoir water area in Xiamen between 2006 and 2014.The experimental results showed that:compared with NDWI and other indexes method,FCLS based method can obtain more accurate dynamic information of the reservoir surface water area.更多还原