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快速、准确地从卫星遥感影像上获取水体信息已成为水资源调查及监测、湿地保护、洪涝灾害评估等领域的重要技术手段。本文以GF-4卫星的PMS传感器影像为数据源,提出了一种改进光谱角匹配(MSAM)的水体信息提取方法,以内蒙古中东部和长江中下游两个试验区为研究对象,对比分析了MSAM与单波段阈值法、NDWI阈值法、支持向量机和光谱角匹配等传统方法的水体信息提取结果,并进行了精度评价。试验结果表明,本文提出的MSAM方法不仅能准确地提取水体信息,而且能很好地区分水体与云阴影,对细小水体的提取也具有很好的效果。在内蒙古中部和长江中下游两个试验区的水体提取精度分别达到99.86%和98.37%,在5种水体提取方法中的精度最高,可以有效地提取水体信息。
Acquiring water information quickly and accurately from satellite remote sensing images has become an important technical means in the fields of water resources investigation and monitoring, wetland protection and flood disaster assessment. In this paper, based on the PMS sensor image of GF-4 satellite as data source, an improved spectral angle matching (MSAM) method for water body information extraction is proposed. Taking the middle and lower reaches of Inner Mongolia and the middle and lower reaches of the Yangtze River as test objects, MSAM and single band threshold method, NDWI threshold method, support vector machine and spectral angle matching and other traditional methods of water body information extraction results, and the accuracy of the evaluation. The experimental results show that the MSAM method proposed in this paper can not only accurately extract water information, but also distinguish the water and cloud shades well. It also has a good effect on the extraction of small water bodies. The precision of water extraction in the two experimental areas in central Inner Mongolia and the middle and lower reaches of the Yangtze River reaches 99.86% and 98.37% respectively. The accuracy of the five water extraction methods is the highest, which can effectively extract water information.