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Glacier flow monitoring by digital camera and space-borne SAR images

机译:通过数码相机和星载SAR图像监测冰川流量

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Most of the image processing techniques have been first proposed and developed on small size images and progressively applied to larger and larger data sets resulting from new sensors and application requirements. In geosciences, digital cameras and remote sensing images can be used to monitor glaciers and to measure their surface velocity by different techniques. However, the image size and the number of acquisitions to be processed to analyze time series become a critical issue to derive displacement fields by the conventional correlation technique. In this paper, an efficient correlation software is used to compute from optical images the motion of a serac fall and from Synthetic Aperture Radar (SAR) images the motion of Alpine glaciers. The optical images are acquired by a digital camera installed near the Argentière glacier (Chamonix, France) and the SAR images are acquired by the high resolution TerraSAR-X satellite over the Mont-Blanc area. The results illustrate the potential of this software to monitor the glacier flow with camera images acquired every 2 h and with the size of the TerraSAR-X scenes covering 30 × 50 km2.
机译:大多数图像处理技术都是首先在小尺寸图像上提出和开发的,并逐渐应用于新传感器和应用需求所产生的越来越大的数据集。在地球科学中,数码相机和遥感图像可用于监视冰川并通过不同技术测量其表面速度。然而,图像大小和要处理以分析时间序列的采集数量成为通过常规相关技术导出位移场的关键问题。在本文中,使用了一种有效的相关软件来从光学图像中计算出海平面下降的运动,并从合成孔径雷达(SAR)图像中计算出高山冰川的运动。光学图像由安装在Argentière冰川(法国夏蒙尼)附近的数码相机获取,SAR图像由位于勃朗峰地区的高分辨率TerraSAR-X卫星获取。结果表明,该软件具有监控冰川流动的潜力,每2小时获取一次照相机图像,并且TerraSAR-X场景的大小覆盖30×50 km 2

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