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冰川冻土 ›› 2018, Vol. 40 ›› Issue (5): 951-959.doi: 10.7522/j.issn.1000-0240.2018.0103

• 寒区科学与技术 • 上一篇    下一篇

西昆仑山崇测冰川区多源遥感影像的冰川信息提取方法研究

韩惠1, 杨晓辉2, 赵井东2   

  1. 1. 兰州交通大学 测绘与地理信息学院, 甘肃 兰州 730070;
    2. 中国科学院 寒区旱区环境与工程研究所 冰冻圈科学国家重点实验室, 甘肃 兰州 730000
  • 收稿日期:2017-10-12 修回日期:2018-02-12 出版日期:2018-10-25 发布日期:2018-12-10
  • 作者简介:韩惠(1976-),女,新疆乌鲁木齐人,副教授,2006年在兰州大学获博士学位,从事遥感和GIS在全球变化中的应用研究.E-mail:hanhui@mail.lzjtu.cn.
  • 基金资助:
    科技部科技基础性工作专项“中国西部主要冰川作用中心冰量变化调查”项目(2013FY111400);国家自然科学基金项目(41330526;41771018);兰州交通大学(201806)优秀平台资助

A study of glacier information extraction methods based on multi-sensors remote sensing images in the Chongce Glacier area, West Kunlun Mountains

HAN Hui1, YANG Xiaohui2, ZHAO Jingdong2   

  1. 1. Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou 730070, China;
    2. State Key Laboratory of Cryospheric Sciences, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China
  • Received:2017-10-12 Revised:2018-02-12 Online:2018-10-25 Published:2018-12-10

摘要: 冰雪独有的性质与特性使得基于遥感影像对其进行信息提取成为可能,如何进行精准的冰雪信息提取是冰雪时空变化研究的关键和基本要求。利用多源遥感影像(TM、IRS-P5和SAR)对西昆仑山崇测冰川区的冰川进行信息提取,采用不同分类方法和数据融合方法,分别针对光学影像和微波影像进行处理,提取冰川信息并进行比较分析。结果表明:面向对象分类方法是最优的冰川信息提取方法;图像融合处理有助于提高冰川信息的提取精度,特别是多光谱和高分辨率图像融合后再分类,提取效果更为理想。

关键词: 多源遥感影像, 冰川信息提取方法, 面向对象分类方法, 图像融合

Abstract: The Tibetan Plateau is one of the largest glaciation centers, where there are several ten thousands glaciers now. These glaciers are located at the headwaters of large rivers in Asia, therefore, they are very important natural resources. Their status and change will affect the surrounding areas. With the development of 3S techniques, the glaciers' information could be obtained. Based on the multisource remote sensing data, such as TM, IRS-P5 and SAR, different classification methods and image fusion have been used to study the glaciers in West Kunlun Mountains, including the Chongce Glacier. It is found that:1) object-oriented classification method is the best method for extracting glacier information; 2) image fusion could be used to improve the glacier extraction results, and the best classification result could be obtained by the fusion image technique based on multispectral and high resolution images.

Key words: multi-sensors remote sensing image, glacier information extraction methods, object-oriented classification method, image fusion

中图分类号: 

  • P343.6