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地球科学进展  2013, Vol. 28 Issue (6): 657-664    DOI: 10.11867/j.issn.1001-8166.2013.06.0657
综述与评述     
定量遥感升尺度转换研究综述
栾海军1, 2,田庆久1*,余涛2,胡新礼2,黄彦1,刘李2,杜灵通1,魏曦3
1.南京大学 国际地球系统科学研究所, 江苏 南京 210023;
2.遥感科学国家重点实验室, 中国科学院遥感与数字地球研究所, 北京 100101;
3.电子科技大学 自动化学院, 四川 成都 611731
Review of Upscaling of Quantitative Remote Sensing
Luan Haijun1,2, Tian Qingjiu1, Yu Tao2, Hu Xinli2 ,Huang Yan1, Liu Li2, Du Lingtong1, Wei Xi3
1.International Institute for Earth System Science, Nanjing University, Nanjing 210023, China;2.State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China; 3.School of Automation, University of Electronic Science and Technology of China, Chengdu 611731,China
 全文: PDF(981 KB)  
摘要:

尺度转换问题是定量遥感领域基础而重要的科学问题之一。重点针对升尺度转换研究现状,从现象描述、尺度效应产生原因分析、尺度转换方法归纳及尺度转换效果评价4个方面进行细致论述。认为目前的研究主要存在3个问题:①基于离散的多传感器影像进行的反演量尺度转换研究,受到不同传感器间成像参数归一化精度的影响;②反演量物理模型发展有限,基于这些模型的反演量连续空间尺度转换研究仍不成熟;③基于分形理论等数学方法的反演量连续空间尺度转换研究取得了一定的进展,但仍受限于尺度上推理论与技术的发展水平。对于定量遥感升尺度转换研究的发展趋势,做出如下展望:①随着成像参数归一化技术的进步,问题①将得到更有效的处理,这将有助于实际应用问题的解决;②连续空间尺度转换模型构建是升尺度转换研究发展的重要趋势。随着多学科知识的融入,定量遥感反演理论的发展及尺度上推理论与技术的进步,问题②与③亦将得到较好的解决,这将有益于揭示遥感反演量真正意义上的尺度转换规律。

关键词: 定量遥感升尺度转换离散连续分形    
Abstract:

Scale effect is a basic scientific problem of quantitative remote sensing. This review is focused on up-scaling research from these four aspects: the description of scaling phenomenon, the causes of scale effects, approaches for scale transformation, and the evaluation for scale transformation. The paper shows there should be three main issues concerning the research on upscaling. The first one is that scale transformation based on discrete images from different sensors can be affected by the accuracy of normalization of imaging parameters. Another issue is about the lack of reasonable physical models for retrievals, resulting in the immaturity of continuous scaling based on them. Thirdly, some proposals try to model continuous scaling of retrievals using mathematical technique like fractal model, but it is still limited by the development of up-scaling technique. It is forecasted that: ① the first issue would be solved with the improvement of normalization of imaging parameters, contributing to better solution for specific application of remotely sensed data; ② meanwhile, modeling continuous scaling of retrievals would be an obvious trend. With deeper fusion of multidiscipline and development of quantitative remote sensing theory and technology, the other two issues would be solved well, which would be beneficial to revealing the true scaling rules of retrievals.

Key words: Discrete    Continuous    Quantitative remote sensing    Spatial up-scaling    Fractal
收稿日期: 2013-02-18 出版日期: 2013-06-10
:  P237  
基金资助:

高等学校博士学科点专项科研基金项目“浅水湖泊蓝藻水华遥感监测空间尺度效应研究”(编号:20100091110012);国家科技重大专项项目(编号:30-Y20A01-9003-12/13)资助.

通讯作者: 田庆久(1964-),男,山东济宁人,教授,主要从事高光谱遥感与遥感信息定量化研究.E-mail:tianqj@nju.edu.cn     E-mail: 田庆久tianqj@nju.edu.cn
作者简介: 栾海军(1984-),男,河南鹿邑人,博士研究生,主要从事定量遥感尺度效应研究.E-mail:luanhaijun1984@yahoo.com.cn
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引用本文:

栾海军,田庆久,余 涛,胡新礼,黄彦,刘李,杜灵通,魏曦. 定量遥感升尺度转换研究综述[J]. 地球科学进展, 2013, 28(6): 657-664.

Luan Haijun, Tian Qingjiu, Yu Tao, Hu Xinli,Huang Yan, Liu Li, Du Lingtong, Wei Xi. Review of Upscaling of Quantitative Remote Sensing. Advances in Earth Science, 2013, 28(6): 657-664.

链接本文:

http://www.adearth.ac.cn/CN/10.11867/j.issn.1001-8166.2013.06.0657        http://www.adearth.ac.cn/CN/Y2013/V28/I6/657

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