地表不透水面比例遥感反演研究综述
A review of research on remote sensing for ground impervious surface percentage retrieval
查看参考文献50篇
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文摘
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城市化造成的城市扩张给社会和生态环境带来诸多问题,监测城市变化是解决这一系列问题的重要切入点。不透水面数据作为表征城市扩张的重要指标已成为城市化研究的热点。不透水面数据获取及其时间序列变化分析是现阶段研究的核心。相比于早期基于平面地图的不透水面提取,遥感因其能够连续、快速、大范围对地观测而被广泛应用于不透水面的研究。多源数据融合和多种反演方法的提出使不透水面的遥感反演取得不断进步,研究的重心也逐渐由不透水面分类制图转移到亚像元不透水面比例的定量反演。本文从单时相和时间序列2个角度对不透水面比例遥感反演方法进行总结,详细分析了各种方法的优势和不足,并简述和对比了常用精度验证方法;最后总结了现阶段不透水面比例遥感反演方法中存在的问题并提出了解决思路,展望了未来的发展方向。 |
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其他语种文摘
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Urban expansion caused by urbanization brings many problems to the social and ecological environment. Monitoring urban change is an entry point to solve these problems. As an important indicator of urban expansion, the impervious surface has become a hotspot of research. The acquisition of impervious surface data and its time series variation analysis are the core of the current study. Compared with early planar map- based impervious surface extraction,remote sensing has been widely used in impervious surface research due to its continuous,rapid and extensive observation of the ground. Multi- source data fusion and multiple retrieval method make constant progress in remote sensing- based retrieval of ground impervious surface percentage,and the focus of the study is gradually shifted from the classification map of impervious surface to the quantitative retrieval of impervious surface percentage. In this paper,the authors summarized the methods of remote sensing retrieval of sub- pixel impervious surface percentage from the perspectives of single period and time series, analyzed the advantages and disadvantages of the retrieval methods in detail,and briefly described and compared the common precision validation method. Finally,the authors summarized the problems existing in the current remote sensing retrieval methods,proposed the corresponding solutions,and pointed out the trend of development in the future. |
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来源
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国土资源遥感
,2019,31(3):20-28 【核心库】
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DOI
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10.6046/gtzyyg.2019.03.03
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关键词
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不透水面比例
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定量遥感反演
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时间序列
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城市化
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地址
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1.
西南石油大学土木工程与建筑学院, 成都, 610500
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中国科学院水利部成都山地灾害与环境研究所, 成都, 610041
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语种
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中文 |
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文献类型
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综述型 |
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ISSN
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1001-070X |
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学科
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自动化技术、计算机技术 |
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基金
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国家自然科学基金重点项目
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青年科学基金项目
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中国科学院战略性先导科技专项
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国家重点研发计划子课题
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中国科学院水利部成都山地灾害与环境研究所“一三五”重要方向性项目
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中国科学院“西部之光”青年学者项目
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文献收藏号
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CSCD:6556167
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参考文献 共
50
共3页
|
|
1.
Department of Economic.
World Urbanization Prospects: The 2007 Revision. Highlights,2008
|
被引
1
次
|
|
|
|
|
2.
Nita A. United nations department of economic and social affairs.
South Sudan Northeast African Studies,2010
|
被引
1
次
|
|
|
|
|
3.
Arnold C L. Impervious surface coverage: The emergence of a key environmental indicator.
Journal of the American Planning Association,1996,62(2):243-258
|
被引
127
次
|
|
|
|
|
4.
Pang W T. Mapping impervious surface areas from GIS planimetric data.
Survey Review,2008,40(308):108-115
|
被引
1
次
|
|
|
|
|
5.
Wu J. Quantifying impervious surface changes using time series planimetric data from 1940 to 2011 in four central Iowa cities,U. S. A.
Landscape and Urban Planning,2013,120:34-47
|
被引
2
次
|
|
|
|
|
6.
杨可明. 城市不透水面及地表温度的遥感估算.
国土资源遥感,2014,26(2):134-139
|
被引
14
次
|
|
|
|
|
7.
张晓萍. 1990 ― 2011年舟山群岛不透水面动态遥感分析.
国土资源遥感,2018,30(2):178-185
|
被引
5
次
|
|
|
|
|
8.
Xian G. Assessments of urban growth in the Tampa Bay watershed using remote sensing data.
Remote Sensing of Environment,2005,97(2):203-215
|
被引
44
次
|
|
|
|
|
9.
Patel N. Extraction of impervious features from spectral indices using artificial neural network.
Arabian Journal of Geosciences,2015,8(6):3729-3741
|
被引
6
次
|
|
|
|
|
10.
程熙. 利用混合光谱分解与SVM估算不透水面覆盖率.
遥感学报,2011,15(6):1235-1241
|
被引
3
次
|
|
|
|
|
11.
高志宏. 城市土地利用变化的不透水面覆盖度检测方法.
遥感学报,2010,14(3):600-606
|
被引
1
次
|
|
|
|
|
12.
陈征. 基于TM图像和夜间灯光数据的区域城镇扩张监测--以浙江省为例.
国土资源遥感,2014,26(1):83-89
|
被引
14
次
|
|
|
|
|
13.
Yang L. An approach for mapping large-area impervious surfaces: Synergistic use of Landsat 7 ETM + and high spatial resolution imagery.
Canadian Journal of Remote Sensing,2003,29(2):230-240
|
被引
32
次
|
|
|
|
|
14.
邵振峰. 基于测绘卫星影像的城市不透水面提取.
地理空间信息,2016,14(7):1-5
|
被引
5
次
|
|
|
|
|
15.
Ridd M K. Exploring a V-I-S (vegetation-impervious surface-soil) model for urban ecosystem analysis through remote sensing: Comparative anatomy for cities?.
International Journal of Remote Sensing,1995,16(12):2165-2185
|
被引
195
次
|
|
|
|
|
16.
赵英时.
遥感应用分析原理与方法,2003:315-317
|
被引
1
次
|
|
|
|
|
17.
Altmann Y. Supervised nonlinear spectral unmixing using a postnonlinear mixing model for hyperspectral imagery.
IEEE Transactions on Image Processing,2012,21(6):3017-3025
|
被引
22
次
|
|
|
|
|
18.
Fan F. Enhancing endmember selection in multiple endmember spectral mixture analysis (MESMA) for urban impervious surface area mapping using spectral angle and spectral distance parameters.
International Journal of Applied Earth Observation and Geoinformation,2014,33(12):290-301
|
被引
4
次
|
|
|
|
|
19.
Franke J. Hierarchical multiple endmember spectral mixture analysis (MESMA) of hyperspectral imagery for urban environments.
Remote Sensing of Environment,2009,113(8):1712-1723
|
被引
28
次
|
|
|
|
|
20.
Powell R L. Sub-pixel mapping of urban land cover using multiple endmember spectral mixture analysis: Manaus,Brazil.
Remote Sensing of Environment,2007,106(2):253-267
|
被引
45
次
|
|
|
|
|
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