Please wait a minute...
 
国土资源遥感  2014, Vol. 26 Issue (4): 46-50    DOI: 10.6046/gtzyyg.2014.04.08
  技术方法 本期目录 | 过刊浏览 | 高级检索 |
基于面向对象的高分遥感景观格局提取方法
杨叶涛1, 王迎迎2, 曾又枝2
1. 中国地质大学(武汉)地球物理与空间信息学院, 武汉 430074;
2. 湖北省气象局, 武汉 430074
Object-based high spatial resolution imagery analysis for landscape pattern extraction
YANG Yetao1, WANG Yingying2, ZENG Youzhi2
1. Institute of Geophysics and Geomatics, China University of Geosciences(Wuhan), Wuhan 430074, China;
2. Hubei Bureau of Meteorology, Wuhan 430074, China
全文: PDF(3237 KB)   HTML  
输出: BibTeX | EndNote (RIS)      
摘要 

为了实现对景观连续变化特征与连接特征的描述,并保持与斑块镶嵌特征的空间尺度一致性,该文利用高分辨率遥感数据,采用面向对象分割方法,建立基于Delaunay-Voronoi原理的景观格局定量描述模型,统一表达景观格局的镶嵌、连续以及连接特征; 并将此图像分割方法的结果与像素聚合方法的结果进行对比。结果表明: 1面向对象的图像分割方法能够更好地保存对景观格局提取至关重要的微细景观特征,并在尺度上推过程中延缓这些细微特征消失; 2基于Delaunay-Voronoi数据结构的景观格局模型有利于面向对象影像分析的景观镶嵌、连续和连接特征的混合及其多尺度表达,更适用于高分辨率遥感景观格局信息提取。

服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
孙超
刘永学
李满春
陈振杰
赵赛帅
关键词 南海岛礁热带风暴缓冲区分析空间拓扑分析    
Abstract

The development of high spatial resolution remote sensing makes it possible to describe the urban fringe landscape pattern at the small scales by using remote sensing images. In this study, focusing on the method for integrating describing landscape patch mosaic, continuum and connectivity characteristics, the authors tried to set up a Delaunay-Voronoi hybrid landscape model based on high spatial resolution imagery object-based analysis. This method was also compared with the traditional pixel aggregation method. The result shows that the image segmentation method can well preserve the tiny critical landscape characteristics and postpone their disappearance during the pushing-up of the scale, and that Delaunay-Voronoi-based data structure is suitable for representing the hybrid landscape model and its multi-scale analysis.

Key wordsislands and reefs in the South China Sea    tropical storm    buffer analysis    spatialtopological analysis
收稿日期: 2013-09-22      出版日期: 2014-09-17
:  TP751.1  
基金资助:

国家自然科学基金项目(编号:41201430)和测绘遥感国家重点实验室开放基金项目(编号:2011I105)共同资助。

作者简介: 杨叶涛(1979-),男,博士,副教授,主要从事生态环境遥感方面的研究。Email:yetao.yang@gmail.com。
引用本文:   
杨叶涛, 王迎迎, 曾又枝. 基于面向对象的高分遥感景观格局提取方法[J]. 国土资源遥感, 2014, 26(4): 46-50.
YANG Yetao, WANG Yingying, ZENG Youzhi. Object-based high spatial resolution imagery analysis for landscape pattern extraction. REMOTE SENSING FOR LAND & RESOURCES, 2014, 26(4): 46-50.
链接本文:  
https://www.gtzyyg.com/CN/10.6046/gtzyyg.2014.04.08      或      https://www.gtzyyg.com/CN/Y2014/V26/I4/46

[1] Herold M,Couclelis H,Clarke K C.The role of spatial metrics in the analysis and modeling of urban land use change[J].Computers,Environment and Urban Systems,2005,29(4):369-399.

[2] Jacquin A,Misaova L,Gay M.A hybrid object-based classification approach for mapping urban sprawl in periurban environment[J].Landscape and Urban Planning,2008,84(3):152-165.

[3] 周伟,袁春,白中科,等.基于QuickBird影像的郑州市城区景观格局评价[J].生态学杂志,2007,26(8):1259-1264. Zhou W,Yuan C,Bai Z K,et al.Landscape patterns of Zhengzhou urban area:An assessment based on QuickBird imagery[J].Chinese Journal of Ecology,2007,26(8):1259-1264.

[4] Wulder M A,Hall R J,Coops N C,et al.High spatial resolution remotely sensed data for ecosystem characterization[J].BioScience,2004,54(6):511-521.

[5] Blaschke T.Object based image analysis for remote sensing[J].ISPRS Journal of Photogrammetry and Remote Sensing,2010,65(1):2-16.

[6] Walter V.Object-based classification of remote sensing data for change detection[J].ISPRS Journal of Photogrammetry and Remote Sensing,2004,58(3):225-238.

[7] 蔡红玥,姚国清.基于分水岭算法的高分遥感图像道路提取优化方法[J].国土资源遥感,2013,25(3):25-29. Cai H Y,Yao G Q.Optimized method for road extraction from high resolution remote sensing image based on watershed algorithm[J].Remote Sensing for Land and Resources,2013,25(3):25-29.

[8] Adriaensen F,Chardon J P,De Blust G,et al.The application of 'least-cost' modeling as a functional landscape model[J].Landscape Urban Plan,2003,64(4):233-247.

[9] 杨叶涛,龚健雅,王迎迎,等.遥感时空不一致性对城市景观格局动态分析影响[J].武汉大学学报:信息科学版,2011,36(8):974-977. Yang Y T,Gong J Y,Wang Y Y,et al.Influence of RS spatio-temporal mismatches on multi-temporal landscape pattern analysis in urban area[J].Geomatics and Information Science of Wuhan University,2011,36(8):974-977.

[10] Baatz M,Schäpe A.Multiresolution segmentation:An optimization approach for high quality multi-scale image segmentation[C]//Strobl J,Blaschke T.Angewandte Geographische Informations-verarbeitung XII.Wichmann, Heidelberg:Springer-Verlag,1999:12- 23.

[11] Dietzel C,Herold M,Hemphill J J,et al.Spatio-temporal dynamics in California's central valley:Empirical links to urban theory[J].International Journal of Geographic Information Science,2005,19(2):175-195.

[12] 何少林,徐京华,张帅毅.面向对象的多尺度无人机影像土地利用信息提取[J].国土资源遥感,2013,25(2):107-112. He S L,Xu J H,Zhang S Y.Land use classification of object-oriented multi-scale by UAV image[J].Remote Sensing for Land and Resources,2013,25(2):107-112.

[13] 赵泉华,李玉,何晓军,等.基于Voronoi几何划分和EM/MPM算法的多视SAR图像分割[J].遥感学报,2013,17(4):841-854. Zhao Q H,Li Y,He X J,et al.Multi-look SAR image segmentation based on voronoi tessellation technique and EM/MPM algorithm[J].Journal of Remote Sensing,2013,17(4):841-854.

[14] 贾春阳,李卫华,李小春.基于自适应权值FNEA算法的高分辨率遥感图像分割[J].国土资源遥感,2013,25(4):22-25. Jia C Y,Li W H,Li X C.High-resolution remote sensing image segmentation based on weight adaptive fractal net evolution approach[J].Remote Sensing for Land and Resources,2013,25(4):22-25.

[1] 张亦汉, 曾湛荆. 番禺区城市建设用地的廊道效应分析[J]. 国土资源遥感, 2014, 26(4): 157-162.
[2] 孙超, 刘永学, 李满春, 陈振杰, 赵赛帅. 近35年来热带风暴对我国南海岛礁的影响分析[J]. 国土资源遥感, 2014, 26(3): 135-140.
[3] 刘凤梅, 曾敏. 稀土矿山地质环境调查中的三维遥感技术研究[J]. 国土资源遥感, 2011, 23(4): 136-139.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
京ICP备05055290号-2
版权所有 © 2015 《自然资源遥感》编辑部
地址:北京学院路31号中国国土资源航空物探遥感中心 邮编:100083
电话:010-62060291/62060292 E-mail:zrzyyg@163.com
本系统由北京玛格泰克科技发展有限公司设计开发