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

doi:10.7522/j.issn.1000-0240.2018.0103

摘要/Abstract

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

韩惠, 杨晓辉, 赵井东. 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[J]. 冰川冻土, 2018, 40(5): 951-959.

HAN Hui, YANG Xiaohui, ZHAO Jingdong. A study of glacier information extraction methods based on multi-sensors remote sensing images in the Chongce Glacier area, West Kunlun Mountains[J]. Journal of Glaciology and Geocryology, 2018, 40(5): 951-959.

参考文献

[1] Yao Tandong, Thompson L, Yang Wei, et al. Different glacier status with atmospheric circulations in Tibetan Plateau and surroundings[J]. Nature Climate Change, 2012, 2(9):663-667.
[2] Liu Shiyin, Yao Xiaojun, Guo Wanqin, et al. The contemporary glaciers in China based on the Second Chinese Glacier Inventory[J]. Acta Geographica Sinica, 2015, 70(1):3-16.[刘时银, 姚晓军, 郭万钦, 等. 基于第二次冰川编目的中国冰川现状[J]. 地理学报, 2015, 70(1):3-16.]
[3] IPCC. Climate Change 2013:The physical science basis[M]. Cambridge:Cambridge University Press, 2013.
[4] Ke L, Ding X, Song C. Heterogeneous changes of glaciers over the western Kunlun Mountains based on ICESat and Landsat-8 derived glacier inventory[J]. Remote Sensing of Environment, 2015, 168:13-23.
[5] Kordzakhia G, Shengelia L, Tvauri G, et al. Satellite remote sensing outputs of the certain glaciers on the territory of East Georgia[J]. Egyptian Journal of Remote Sensing & Space Sciences, 2015, 18(1):1-7.
[6] Liu T, Kinouchi T, Ledezma F. Characterization of recent glacier decline in the Cordillera Real by LANDSAT, ALOS, and ASTER data[J]. Remote Sensing of Environment, 2013, 137(10):158-172.
[7] Yavaşlh D D, Tucker C J, Melocik K A. Change in the glacier extent in Turkey during the Landsat Era[J]. Remote Sensing of Environment, 2015, 163:32-41.
[8] Kraaijenbrink P D A, Shea J M, Pellicciotti F, et al. Object-based analysis of unmanned aerial vehicle imagery to map and characterise surface features on a debris-covered glacier[J]. Remote Sensing of Environment, 2016, 186:581-595.
[9] Han H, Lee H. Tide deflection of Campbell Glacier Tongue, Antarctica, analyzed by double-differential SAR interferometry and finite element method[J]. Remote Sensing of Environment, 2014, 141(2):201-213.
[10] Solberg S, Astrup R, Breidenbach J, et al. Monitoring spruce volume and biomass with InSAR data from TanDEM-X[J]. Remote Sensing of Environment, 2013, 139(12):60-67.
[11] Zhou Jianmin, Li Zhen, Xing Qiang. Deriving glacier border information based on analysis of decorrelation in SAR interferometry[J]. Journal of Glaciology and Geocryology, 2010, 32(1):133-138.[周建民, 李震, 邢强. 基于雷达干涉失相干特性提取冰川边界方法研究[J]. 冰川冻土, 2010, 32(1):133-138.]
[12] Zhang Qiang, Liu Yi, Blumc R S, et al. Sparse representation based multi-sensor image fusion for multi-focus and multi-modality images:a review[J]. Information Fusion, 2018, 40:57-75.
[13] Ghassemian H. A review of remote sensing image fusion methods[J]. Information Fusion, 2016, 32:75-89.
[14] Su Zhen, Xie Zichu, Wang Zhichao. Glaciers and Their Environments in Karakoram and Kunlun Mountains[M]. Beijing:Science Press, 1998.[苏珍, 谢自楚, 王志超. 喀喇昆仑山-昆仑山地区冰川与环境[M]. 北京:科学出版社, 1998.]
[15] Zhang Wen. Research on Glacier Extraction Methods based on Multi-source Remote Sensing Data[D]. Lanzhou:Lanzhou Jiaotong University, 2016.[张雯. 基于多源遥感数据的冰川信息提取方法研究[D]. 兰州:兰州交通大学, 2016.]
[16] Zhang Wen. Study of extracting glacier information by variety remote sensing:a case study in chongce glacial area[J]. Geomatics and Spatial Information Technology, 2016, 39(11):175-178.[张雯. 基于遥感的冰川信息提取方法探讨——以崇测冰川地区为例[J]. 测绘与空间地理信息, 2016, 39(11):175-178.]
[17] Ye Qinghua, Chen Feng, Yao Tandong, et al. Tupu of glacier variations in the Mt. Naimona'Nyi region, western Himalayas, in the last three decades[J]. Journal of Remote Sensing, 2007, 11(4):512-520.[叶庆华, 陈锋, 姚檀栋. 近30 a来喜马拉雅山脉西段纳木那尼峰地区冰川变化的遥感监测研究[J]. 遥感学报, 2007, 11(4):512-520.]
[18] Shangguan Donghui, Liu Shiyin, Ding Yongjian, et al. Glacier changes at the head of Yurungkax River in the west Kunlun Mountains in the past 32 years[J]. Acta Geographica Sinica, 2004, 59(6):855-862.[上官冬辉, 刘时银, 丁永建, 等. 玉龙喀什河源区32年来冰川变化遥感监测[J].地理学报, 2004, 59(6):855-862.]
[19] Zhang Jiping, Liu Linshan, Zhang Yili, et al. Object-oriented information extraction of water bodies and glaciers in extreme high altitude area:a case study of the core area of Mt.Qomolangma (Everest) National Nature Preserve[J]. Journal of Geo-Information Science, 2010, 12(4):517-523.[张继平, 刘林山, 张镱锂, 等. 面向对象的极高海拔区水体及冰川信息提取——以珠穆朗玛峰国家级自然保护区核心区为例[J]. 地球信息科学学报, 2010, 12(4):517-523.]
[20] Yan Donghai, Li Zhongqin, Gao Wenyu, et al. RS-based monitoring of glacier change in the Beidahe River basin in the Qilian Mountains[J]. Arid Zone Research, 2012, 29(2):245-250.[颜东海, 李忠勤, 高闻宇, 等. 祁连山北大河流域冰川变化遥感监测[J]. 干旱区研究, 2012, 29(2):245-250.]
[21] Zeng Lingfang, Li Lin, Wan Lihua. SAR-based fast flood mapping using Sentinel-1 imagery[J]. Geomatics World, 2015, 22(5):100-103.[曾玲方, 李霖, 万丽华. 基于Sentinel-1卫星SAR数据的洪水淹没范围快速提取[J]. 地理信息世界, 2015, 22(5):100-103.]
[22] Huang Lei, Li Zhen, Zhou Jianmin, et al. Glacier change monitoring using sar:an overview[J]. Advances in Earth Science, 2014, 29(9):985-993.[黄磊, 李震, 周建民, 等. SAR监测冰川变化研究进展[J]. 地球科学进展, 2014, 29(9):985-993.]
[23] Huai Baojuan, Li Zhongqin, Sun Meiping, et al. Discussion on RS methods for glacier outline detection:a case study in headwaters of the Kanas River[J]. Arid Zone Research, 2013, 30(2):372-377.[怀保娟, 李忠勤, 孙美平, 等. 多种遥感分类方法提取冰川边界探讨——以喀纳斯河源地区为例[J]. 干旱区研究, 2013, 30(2):372-377.]
[24] Song Bo, He Yuanqing, Pang Hongxi, et al. Identifying automatically the debris-covered glaciers in China's monsoonal temperate-glacier regions based on remote sensing and GIS[J]. Journal of Glaciology and Geocryology, 2007, 29(3):456-462.[宋波, 何元庆, 庞洪喜, 等. 基于遥感和GIS的我国季风海洋型冰川区冰碛物覆盖型冰川边界的自动识别[J]. 冰川冻土, 2007, 29(3):456-462.]
[25] Liu Meiling. Methods and applications for glacier extraction of multi-source remote sensing data[D]. Lanzhou:Lanzhou Jiaotong University, 2014.[刘美琳. 多源遥感影像冰川提取技术方法与应用[D]. 兰州:兰州交通大学, 2014.]
[26] Yan Lili, Wang Jian. Study of extracting glacier information from remote sensing[J]. Journal of Glaciology and Geocryology, 2013, 35(1):110-118.[彦立利, 王建. 基于遥感的冰川信息提取方法研究进展[J]. 冰川冻土, 2013, 35(1):110-118.]