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基于SAR影像估计慕士塔格峰地区冰川速度场
引用本文:梁珊珊,闫世勇. 基于SAR影像估计慕士塔格峰地区冰川速度场[J]. 科学技术与工程, 2014, 14(23)
作者姓名:梁珊珊  闫世勇
作者单位:中国民航大学空中交通管理学院管制运行与技术系,中国地震应急搜救中心
基金项目:国家科技支撑计划课题“中亚地区环境变化与自然资源遥感监测技术和应用”,2012~2015(课题号:2012BAH27B05)
摘    要:冰川速度是冰川学研究中的一个重要参数,遥感方法为获取冰川表面速度提供了一种有效的手段。由于慕士塔格峰地区常年有云覆盖,不能为速度提取提供足够多数量的光学影像。但是,基于SAR影像对偏移量的提取算法为该地区冰川流速的测量提供了一个有效的途径。分别获取两幅雷达影像(ALOS/PALSAR)距离向和方位向的偏移,通过信噪比和相关系数选择可信点,然后通过整体拟合的方法去除雷达图像整体偏移,得到与冰川运动相关的偏移信号,首次得到了慕士塔格峰地区冰川表面完整的速度分布情况,依据该地区的速度大小分布特点,对慕士塔格峰四周冰川进行了划分。并进一步分别分析了该地区冰川在距离向和方位向速度大小与地形的关系,表明速度的大小与地形具有直接的相关性。结果表明,基于SAR影像对的偏移量测量为冰川研究提供了一个有效的方法和手段。

关 键 词:关 键 词:合成孔径雷达  冰川表面速度场  归一化的互相关算法
收稿时间:2014-02-25
修稿时间:2014-04-21

Glacier Surface Flow Velocity Field Estimation Using SAR Images of Muztag Ata
Abstract:The surface velocities of glacier are important parameters in the study of glaciology. Remote sensing provides an effective tool to acquire the glacier surface flow velocity field. Because of all the year round in the Muztag Ata glacier , always there is cloud cover, the number of optical images to derive glacier velocities is not sufficient. However, procedure based on displacement of SAR images provides an useful method to estimate glacier velocity. In this paper, first the registration offsets of two ALOS/PALSAR images in both slant-range and azimuth direction are estimated ,second trusted points are selected by using signal-to -noise ratio and correlation coefficient matrix, third the overall offset of the radar images is removed by the fitting , so the displacement related to glacier flow is obtained, finally the velocity distribution on the surface of the glacier can be calculated . In this paper, complete surface velocity distribution of Muztag Ata glacier is acquired for the first time. Based on the velocity distribution characteristics of the Muztag Ata glacier, the division of glaciers is made. The relationship between surface velocities of glacier and topography is further analyzed, which shows that there is direct correlation between them. It is concluded that displacement measurements based on SAR images can provide effective methods to ice and glaciers research.
Keywords:Synthetic Aperture Radar   Glacier Surface Velocity Field    Normalized Cross-correlation Algorithm
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