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遥感技术与应用  2016, Vol. 31 Issue (1): 23-30    DOI: 10.11873/j.issn.1004-0323.2016.1.0023
山地遥感专栏     
一种多目标约束下的山地遥感试验空间采样方法
尹高飞1,李爱农1,赵伟1,曾也鲁2,3,徐保东2,3
(1.中国科学院水利部成都山地灾害与环境研究所,四川 成都610041;
2.中国科学院遥感与数字地球研究所遥感科学国家重点实验室,北京100101;
3.中国科学院大学,北京100049)
A Multi-objective Constrained Sampling Strategy for Field Experiment in Mountainous Areas
Yin Gaofei1,Li Ainong1,Zhao Wei1,Zeng Yelu2,3,Xu Baodong2,3
(1.Institute of Mountain Hazards and Environment,Chinese Academy of Sciences,Chengdu 610041,China;
2.State Key Laboratory of Remote Sensing Science,Institute of Remote Sensing and Digital Earth,
Chinese Academy of Sciences,Beijing 100101,China;
3 College of Resources and Environment,University of Chinese Academy of Sciences,Beijing 100049,China
 全文: PDF(4161 KB)  
摘要:

相对于平地,山地的空间异质性更强,交通更为不便,开展遥感实验时需要更加高效的地面样点布设方案。以条件拉丁超立方体采样为理论基础,通过构建多目标代价函数,发展了一种专门针对于山区遥感试验的采样方法。以具有复杂地形特征的海螺沟为研究区,与随机采样(SRS)、基于分类图的采样(LCSS)以及无成本约束的条件拉丁超立方体采样(CLH)进行了对比试验。结果表明,CLH和本文方法所得样〖JP2〗点的概率直方图和研究区总体概率直方图非常相似,样点代表性明显优于SRS和LCSS方法。同时,本文方法所得样点的平均成本距离(296.78)显著低于SRS(407.84)、LCSS(408.19)和CLH方法(458.78)。

关键词: 地面采样遥感试验代表性试验成本条件拉丁方超立方体采样(CLH)    
Abstract:

Sampling design is a prerequisite for field campaigns,which is especially important for the supporting of bio\|physical production validation.A good sample should get a proper compromise between representation of heterogeneous surface and implementation cost.Rugged terrain in mountainous areas complicates the sampling designing,resulting from its more heterogeneous and inaccessible characteristics.A novel sampling strategy was proposed based on constrained Latin Hypercube Sampling to address this problem.Results of a comparison experiment,implemented in Hailuogou,China,show that this sampling strategy can get a sample which is representative in both feature and geographical space,and with a relatively low implementation cost. 

Key words: Sampling design    Field campaign    Representation    Implementation cost    Constrained Latin Hypercube Sampling
收稿日期: 2015-12-09 出版日期: 2016-04-05
:  TP 79  
基金资助:

国家自然科学基金资助项目(41271433、41571373),中尼国际合作项目(GJHZ201320),中国科学院水利部成都山地灾害与环境研究所“青年百人团队计划”,中国科学院“西部青年学者”(B类),中国科学院水利部成都山地灾害与环境研究所青年基金项目。

通讯作者: 李爱农(1974-),男,安徽庐江人,研究员,中国科学院“百人计划”、四川省“千人计划”入选者,主要从事山地定量遥感及其应用研究。Email:ainongli@imde.ac.cn。    
作者简介: 尹高飞(1986-),男,山东临邑人,助理研究员,主要从事山地定量遥感研究。Email:gaofeiyin@imde.ac.cn。
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引用本文:

尹高飞,李爱农,赵伟,曾也鲁,徐保东. 一种多目标约束下的山地遥感试验空间采样方法[J]. 遥感技术与应用, 2016, 31(1): 23-30.

Yin Gaofei,Li Ainong,Zhao Wei,Zeng Yelu,Xu Baodong. A Multi-objective Constrained Sampling Strategy for Field Experiment in Mountainous Areas. Remote Sensing Technology and Application, 2016, 31(1): 23-30.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2016.1.0023        http://www.rsta.ac.cn/CN/Y2016/V31/I1/23

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