An Automated Method for Extracting Rivers and Lakes from Landsat Imagery
An Automated Method for Extracting Rivers and Lakes from Landsat Imagery
复制标题
从陆地卫星图像中提取河流和湖泊的自动化方法
DOI：
10.3390/rs6065067
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发表时间：
2014-06-01
期刊：
影响因子：
5
通讯作者：
Xiao, Tong
中科院分区：
文献类型：
--
作者：
Jiang, Hao;Feng, Min;Xiao, Tong
水指数旨在突出遥感图像中的内陆水体。WI在水体制图中的应用主要是基于阈值法。然而，该方法存在三个主要困难：（1）混合水像素的低效识别;（2）水体与背景噪声的混淆;以及（3）阈值根据图像采集的位置和时间的变化。针对河流、湖泊边缘浅水区或宽河流中混合水体像素普遍存在的问题，提出了一种将WI与数字图像处理技术相结合的河流、湖泊自动提取方法。数据源为中国三个代表性地区的Landsat（TM）（专题制图仪）和ETM+（增强型专题制图仪）图像。与现有的阈值方法的结果进行了比较。还评估了新方法结合不同WI的稳健性。几个指标，其中包括Kappa系数，遗漏和委托错误，边缘位置的准确性和完整性，计算来评估该方法的性能。新的方法一般优于阈值方法，虽然改善的程度各不相同的WI。最后讨论了该方法的优点和局限性。
The water index (WI) is designed to highlight inland water bodies in remotely sensed imagery. The application of WI for water body mapping is mainly based on the thresholding method. However, there are three primary difficulties with this method: (1) inefficient identification of mixed water pixels; (2) confusion of water bodies with background noise; and (3) variation in the threshold values according to the location and time of image acquisitions. Considering that mixed water pixels usually appear in narrow rivers or shallow water at the edge of lakes or wide rivers, an automated method is proposed for extracting rivers and lakes by combining the WI with digital image processing techniques to address the above issues. The data sources are the Landsat (TM) (Thematic Mapper) and ETM+ (Enhanced Thematic Mapper Plus) images for three representative areas in China. The results were compared with those from existing thresholding methods. The robustness of the new method in combination with different WIs is also assessed. Several metrics, which include the Kappa coefficient, omission and commission errors, edge position accuracy and completeness, were calculated to assess the method's performance. The new method generally outperformed the thresholding methods, although the degree of improvement varied among WIs. The advantages and limitations of the proposed method are also discussed.