表碛覆盖冰川信息提取方法——以波密县为例

发布时间：2018-07-05 10:38

  本文选题：表碛覆盖冰川 + 面向对象-波段比值法　； 参考：《山地学报》2017年02期

【摘要】：针对表碛覆盖冰川提取困难的问题,本文结合TM影像、DEM和野外调查资料,基于地物光谱、地形和纹理特征,将研究区分为表碛覆盖冰川区、无表碛覆盖冰川区和阴影下冰川区,采用模糊逻辑方法建立定量化提取规则,综合利用了面向对象和波段比值两个方法的各自优点,建立面向对象-波段比值信息提取方法,进行了有无表碛物覆盖的冰川信息的分区提取,并以波密县为典型研究区,通过混淆矩阵进行精度分析。研究结果表明:1)提出的面向对象—波段比值法,能够较完整地提取研究区表碛覆盖冰川,精度可达93%,冰川信息提取总体精度为98%,kappa系数为0.97;2)研究区冰川总面积为7 655.27 km~2,占研究区总面积的46.18%,无表碛覆盖冰川、表碛覆盖冰川、阴影下冰川面积分别为5615.20 km~2、65.13 km~2、1 974.94 km~2,占总冰川73.35%、0.85%、25.80%。初步建立的表碛覆盖冰川自动信息提取方法可以为类似地区冰川遥感监测提供依据和参考。
[Abstract]:Aiming at the difficulty of extracting surface moraine covered glacier, this paper combines with TM image Dem and field survey data, based on the features of surface spectrum, topography and texture, divides the research into surface moraine covered glacial area, non-surface moraine covered glacial area and glacial area under shadow. Fuzzy logic method is used to establish quantitative extraction rules, and the advantages of object-oriented and band ratio methods are synthetically utilized, and the object-oriented band ratio information extraction method is established. The information of glacier covered with or without moraine was extracted from the region, and the precision of the glacier was analyzed by confusion matrix, taking Bomi County as the typical research area. The results show that the object-oriented band ratio method proposed by: 1) can completely extract the surface moraine covered glaciers in the study area. The total area of the glacier in the study area is 7 655.27 km2, accounting for 46.18% of the total area of the study area. The glacial area is covered with no surface moraine. The glacial area under the shadow is 5615.20 km / m ~ (2) 65.13 km ~ (2) ~ (1) 974.94 km ~ (2) ~ (2), accounting for 73.35 ~ 0.85 km / m of the total glacier and 25.80 km / m ~ (-1), respectively. The preliminary automatic information extraction method of moraine cover glacier can provide basis and reference for glacier remote sensing monitoring in similar areas.
【作者单位】： 湘潭大学土木工程与力学学院;湖南科技大学资源环境与安全工程学院;西藏自治区公路局;
【基金】：交通运输部科技计划项目(20153161T906) 岩土力学与工程安全湖南省重点实验室开放基金(16GES06) 特殊环境道路工程湖南省重点实验室开放基金(kfj120404) 湖南省研究生科研创新基金(CX2015B471)~~
【分类号】：P237;P343.6
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本文编号：2099937