摘要
提出一种多角度遥感影像的冰川信息提取方法。通过"全域—局部"的阈值分割方法获取短时期内不同时相的遥感影像的冰雪边界,结合地形信息和多时相遥感影像的太阳角度信息,联合消除山体阴影对冰川的遮挡,并以多期影像的最小冰雪边界作为最佳冰川边界。以托木尔峰西侧冰川为研究对象,采用2009—2010年4个时相的遥感影像提取冰川信息。结果表明多角度遥感提取的冰川边界效果好,能有效地排除积雪与山体阴影的干扰。
A glacier extraction method based on multitemporal and multiangle remote sensing images is proposed .Firstly , a “global‐local” threshold segmentation method is applied to extract snow ice boundaries with multitemporal remote sensing images .Secondly , the glacier boundaries hidden by mountain shadows are restored with topographic features and multiangle information in different remote sensing images .Finally ,the best glacier extents are the intersections of different glacier/snow extents .In order to validate the method ,a glacier extraction is tested with 4 Landsat images during 2009‐2010 in the western part of Tumur peak of the Tienshan Mountains .The results show that the proposed method performs well in extracting the glacier boundaries inside the mountain shadows with multiangle images .
出处
《测绘学报》
EI
CSCD
北大核心
2015年第1期59-66,共8页
Acta Geodaetica et Cartographica Sinica
基金
中国科学院重点部署项目(KZZD-EW-08-02-02)
科技部国际科技合作项目(2010DFA92720-04)
国家自然科学基金(U1178302
41371419
41101041)~~
关键词
冰川提取
山体阴影
全域-局部
多角度
glacier extraction
mountain shadow
global-local
multiangle
