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【目的】针对已有水体信息提取方法无法准确识别干旱区湖泊水体和非水体边界信息的缺点,提出一种新的水体信息提取方法,以期高精度地提取水体信息。【方法】以我国最大的干旱区内陆淡水湖———博斯腾湖及其周边地区为研究对象,以研究区Landsat ETM+遥感影像图为主要数据源,以大量的湖岸线GPS定位数据为检验依据,提出了多波段DN值比较法(CBDN),并对比分析了CBDN与常用的单波段阀值法、NDWI、MNDWI、谱间关系法和NDWI3等方法的水体信息提取效果,对各种方法提取结果的精度进行评价。【结果】CBDN法不仅能准确地提取水体信息,而且该法提取的水体与非水体之间的边界线与实际湖岸线非常接近,水体与非水体信息提取的总体精度最高,为99.29%。【结论】CBDN方法优于其他已有的常用水体信息提取方法,该法操作过程较简单、快捷方便,有一定的推广价值。
【Objective】 Aiming at the shortcomings that the existing water information extraction methods can not accurately identify the boundary information of lake water bodies and non-water bodies in arid areas, a new water body information extraction method is proposed to extract water body information with high accuracy. 【Method】 Taking the Bosten Lake and its surrounding area as the inland freshwater lake, the largest inland arid region of China as the research object, taking Landsat ETM + remote sensing image of the study area as the main data source and a large number of GPS shoreline data as the test basis, A multi-band DN value comparison method (CBDN) is proposed. The water body information extraction effects of CBDN and commonly used single-band threshold method, NDWI, MNDWI, spectral relationships and NDWI3 are compared and analyzed. The accuracy of the evaluation. 【Result】 The CBDN method can not only extract water information accurately, but also the boundary between the water body and non-water body extracted by this method is very close to the actual lake shoreline. The overall accuracy of extracting water body and non-water body information is 99.29%. 【Conclusion】 The method of CBDN is superior to other existing water information extraction methods. The operation of this method is simpler, quick and convenient, and has some promotion value.