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一种用于高山环境冰川变形监测的低成本光学遥感应用。

A Low-Cost Optical Remote Sensing Application for Glacier Deformation Monitoring in an Alpine Environment.

作者信息

Giordan Daniele, Allasia Paolo, Dematteis Niccolò, Dell'Anese Federico, Vagliasindi Marco, Motta Elena

机构信息

GeoHazard Monitoring Group-Institute of Research for the Geo-Hydrological Protection-National Council of Research of Italy, 10135 Turin, Italy.

Fondazione Montagna Sicura, 11013 Courmayeur, Italy.

出版信息

Sensors (Basel). 2016 Oct 21;16(10):1750. doi: 10.3390/s16101750.

DOI:10.3390/s16101750
PMID:27775652
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5087535/
Abstract

In this work, we present the results of a low-cost optical monitoring station designed for monitoring the kinematics of glaciers in an Alpine environment. We developed a complete hardware/software data acquisition and processing chain that automatically acquires, stores and co-registers images. The system was installed in September 2013 to monitor the evolution of the Planpincieux glacier, within the open-air laboratory of the Grandes Jorasses, Mont Blanc massif (NW Italy), and collected data with an hourly frequency. The acquisition equipment consists of a high-resolution DSLR camera operating in the visible band. The data are processed with a Pixel Offset algorithm based on normalized cross-correlation, to estimate the deformation of the observed glacier. We propose a method for the pixel-to-metric conversion and present the results of the projection on the mean slope of the glacier. The method performances are compared with measurements obtained by GB-SAR, and exhibit good agreement. The system provides good support for the analysis of the glacier evolution and allows the creation of daily displacement maps.

摘要

在这项工作中，我们展示了一个低成本光学监测站的成果，该监测站旨在监测阿尔卑斯环境中冰川的运动学。我们开发了一个完整的硬件/软件数据采集和处理链，可自动采集、存储并配准图像。该系统于2013年9月安装，用于监测勃朗峰地块（意大利西北部）大乔拉斯露天实验室范围内的普兰皮谢冰川的演变，并以每小时一次的频率收集数据。采集设备包括一台在可见光波段工作的高分辨率数码单反相机。数据采用基于归一化互相关的像素偏移算法进行处理，以估计观测冰川的变形。我们提出了一种像素到度量的转换方法，并展示了在冰川平均坡度上的投影结果。将该方法的性能与地面干涉合成孔径雷达（GB-SAR）获得的测量结果进行了比较，结果显示出良好的一致性。该系统为冰川演变分析提供了良好的支持，并允许创建每日位移图。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cb4/5087535/9630fbf8e238/sensors-16-01750-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cb4/5087535/2c229bf8db15/sensors-16-01750-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cb4/5087535/7be04211867a/sensors-16-01750-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cb4/5087535/aed4129a8af9/sensors-16-01750-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cb4/5087535/98727b016d7d/sensors-16-01750-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cb4/5087535/18b905983c1c/sensors-16-01750-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cb4/5087535/bdb6eb6599ce/sensors-16-01750-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cb4/5087535/a75e54551b23/sensors-16-01750-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cb4/5087535/beac901ace22/sensors-16-01750-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cb4/5087535/a1071527b722/sensors-16-01750-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cb4/5087535/9630fbf8e238/sensors-16-01750-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cb4/5087535/2c229bf8db15/sensors-16-01750-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cb4/5087535/7be04211867a/sensors-16-01750-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cb4/5087535/aed4129a8af9/sensors-16-01750-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cb4/5087535/98727b016d7d/sensors-16-01750-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cb4/5087535/18b905983c1c/sensors-16-01750-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cb4/5087535/bdb6eb6599ce/sensors-16-01750-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cb4/5087535/a75e54551b23/sensors-16-01750-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cb4/5087535/beac901ace22/sensors-16-01750-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cb4/5087535/a1071527b722/sensors-16-01750-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cb4/5087535/9630fbf8e238/sensors-16-01750-g010.jpg

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本文引用的文献

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Efficient subpixel image registration algorithms.高效亚像素图像配准算法。
Opt Lett. 2008 Jan 15;33(2):156-8. doi: 10.1364/ol.33.000156.
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Image change detection algorithms: a systematic survey.图像变化检测算法：系统综述。
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