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遥感技术与应用  2015, Vol. 30 Issue (4): 706-713    DOI: 10.11873/j.issn.1004-0323.2015.4.0706
图像与数据处理     
基于谐波分析和线性光谱模型的耕地信息提取
周玉洁1,2,王卷乐2,3,郭海会4
(1.四川省第二测绘地理信息工程院,四川 成都 610100;
2.中国科学院地理科学与资源研究所 资源与环境信息系统国家重点实验室,北京 100101;
3.江苏省地理信息资源开发与利用协同创新中心,江苏 南京 210023;
4.高德软件有限公司,北京 100080)
Application of Harmonic Analysis and Linear Spectral Mixture Model to Extract the Cultivated Resource
Zhou Yujie1,Wang Juanle2,3,Guo Haihui4
(1.Sichuan Province in Second Geographic Information Engineering Institute of
Surveying and Mapping,Chengdu 610100,China;
2.Laboratory of Resources and Environment Information System,Institute of Geographic Sciences
and Natural Resources Research,Chinese Academy of Sciences,Beijing 100010,China;
3.Jiangsu Center for Collaborative Innovation in Geographical Information Resource
Development and Application,Nanjing 210023,China;
4.Autonavi Software Company Limited,Beijing 100080,China)
 全文: PDF(4044 KB)  
摘要:

耕地是重要的农业资源,如何利用遥感技术快速准确地提取耕地信息是目前研究的热点。利用2000年MODIS/EVI时间序列数据提取关中地区耕地资源信息。以不同地类的EVI时间序列数据年内变化差异为分类依据,采用时间序列谐波分析法对全年时间谱EVI数据进行重构分析,减少噪音对信息提取的影响。经最小噪声分离变换(MNF变换)、纯净像元指数(PPI)计算以及N维可视化工具进行人机交互选取植被、耕地、城镇和水体4种端元,基于线性光谱混合模型,获取该地区耕地资源分布信息。通过与同年1∶10万土地利用数据对比验证,本研究提取的耕地总体精度为83%。研究表明:基于时间序列谐波分析法对EVI数据进行重构,利用不同地类的特征差异,采用混合像元分解的方法,可以精确获取耕地资源定量信息。该方法可为长期、大范围、动态的耕地分布和变化遥感监测提供技术参考,同时为国土资源管理部门提供决策支持。

关键词: 耕地资源MODIS/EVI谐波分析线性光谱混合模型(LSMM)关中地区    
Abstract:

Cultivated land is an important agricultural resources and how to extract information quickly and accurately using remote sensing technology is an research hotspot currently.In this paper,time series of MODIS/EVI data was used to extract cultivated resource in GuanZhong during 2000.According to the classification basis,the different land type exhibiting distinctive seasonal patterns of EVI variation have strong periodic characteristic.Harmonic Analysis of Time Series was applied to EVI time\|series data in order to minimize the influence of noise on information extraction.After performed MNF transformation and PPI algorithm,four endmembers are selected including vegetation,cultivated land,urban and water using n\|Dimensional Visualizer Tool of ENVI software.And then,cultivated land was estimated based on a Linear Spectral Mixture Model (LSMM).Through comparison validation of the 1∶10 000 land use data of the study area.This study finds that the total accuracy of cultivated land is 83%.The results indicated that high accuracy of cultivated land of quantitative information is available based on mixed pixel decomposition according to the characteristic difference of different land type,as well as EVI time\|series data reconstruction using the Harmonic Analysis of Time Series.This method can provide technical reference for long\|term,large\|scale,dynamic remote sensing monitoring of the distribution and change of cultivated land and  

Key words: Cultivated resource    MODIS/EVI    Harmonic analysis    Linear Spectral Mixture Model(LSMM)    Guanzhong region
收稿日期: 2014-03-06 出版日期: 2015-09-22
:  TP 79  
基金资助:

科技基础性工作专项项目(2011FY110400),中国科学院信息化专项项目(XXH12504-1-01)。

通讯作者: 王卷乐(1976-),男,河南洛阳人,副研究员,主要从事资源环境空间数据管理、GIS与遥感应用方面的研究。Email:wangjl@ igsnrr.ac.cn。   
作者简介: 周玉洁(1988-),女,四川南充人,硕士研究生,主要从事遥感技术与应用、土地覆被方面的研究。Email:zhou_yujean@163.com。
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引用本文:

周玉洁,王卷乐,郭海会. 基于谐波分析和线性光谱模型的耕地信息提取[J]. 遥感技术与应用, 2015, 30(4): 706-713.

Zhou Yujie,Wang Juanle,Guo Haihui. Application of Harmonic Analysis and Linear Spectral Mixture Model to Extract the Cultivated Resource. Remote Sensing Technology and Application, 2015, 30(4): 706-713.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2015.4.0706        http://www.rsta.ac.cn/CN/Y2015/V30/I4/706

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