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遥感技术与应用  2019, Vol. 34 Issue (1): 79-89    DOI: 10.11873/j.issn.1004-0323.2019.1.0079
土地利用/覆被专栏     
基于优化分割分类层次体系的土地覆被分类制图方法探讨
刘立1,2,刘勇1
(1.兰州大学资源环境学院,甘肃 兰州 730000;2.中国人民解放军61243部队,甘肃 兰州 730020)
Land Cover Classification and Mapping based on Segmentation Optimized Hierarchical Object Classification System
Liu Li1,2,Liu Yong1
(1.Collegeof Earth and Environment Sciences,Lanzhou University,Lanzhou 730000,China;
2.Unit 61243 People's Liberation Army,Lanzhou 730020,China)
 全文: PDF(6308 KB)  
摘要: 随着高分辨率卫星的广泛应用,基于对象的影像分析方法逐渐成为提取土地覆被信息的主要方法。分割优化是基于对象的影像分析方法中的一个基本步骤。不同土地覆被类型通常具有不同的优化分割参数,如何充分利用多尺度最优分割建立分割分类层次体系,从高分辨率影像中提取各种土地覆被类型,实现高精度土地覆被制图,是面向对象影像分析方法中有待解决的一个难题。在获取不同土地覆被类别各自最优的分割参数基础上,探索了一种基于参考数据集的最小分割单元与决策树的分割分类层次体系构建方法。实验表明:该方法可以有效地降低设置分割分类层次体系时对操作者个人经验的依赖,提高分类精度,满足自动制图要求。
关键词: 面向对象影像分析数据挖掘分割分类层次体系分割优化随机森林    
Abstract: With the wide application of high-resolution satellite,Object based Image Analysis (OBIA) has gradually become main stream of extracting land cover information.Segmentation optimization is a fundamental step in OBIA.Different land cover types usually have different optimized segmentation parameters.How to make full use of the optimal Multi-Resolution Segmentation (MRS) to establish a segmentation classification hierarchy and to achieve high-precision land cover mapping,is a challenge in object-oriented image analysis.based on the optimal segmentation parameters of different land cover types,this paper explores a method to construct a segmentation optimized hierarchical classification system based on the minimum optimized segmentation unit.Experiments show that this method can effectively reduce the dependence on the operator's personal experience when setting up the classification hierarchy system,improve the classification accuracy,and meet the requirements of automatic drawing.
Key words: Object based Image Analysis(OBIA)    Data mining    Segmentation classification hierarchical system    Segmentation optimized    Random forest
收稿日期: 2018-05-08 出版日期: 2019-04-02
ZTFLH:  TP75  
基金资助: 国家自然科学基金项目(41271360)。
作者简介: 刘立(1982-),男,甘肃兰州人,硕士研究生,主要从事基于对象影像分析方法的研究。E-mail:lliu_gis@163.com。
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引用本文:

刘立, 刘勇. 基于优化分割分类层次体系的土地覆被分类制图方法探讨[J]. 遥感技术与应用, 2019, 34(1): 79-89.

Liu Li, Liu Yong. Land Cover Classification and Mapping based on Segmentation Optimized Hierarchical Object Classification System. Remote Sensing Technology and Application, 2019, 34(1): 79-89.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2019.1.0079        http://www.rsta.ac.cn/CN/Y2019/V34/I1/79

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