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J4  2013, Vol. 47 Issue (4): 581-587    DOI: 10.3785/j.issn.1008-973X.2013.04.003
土木工程     
遥感影像矢量化图形的多层次优化方法
吴宁1, 陈秋晓2, 周玲2, 万丽2
1. 浙江大学 建筑学系,浙江 杭州 310058;2. 浙江大学 区域与城市规划系,浙江 杭州 310058
Multi-level method of optimizing vector graphs converted from remote sensing images
WU Ning1, CHEN Qiu-xiao2, ZHOU Ling2, WAN Li2
1.Department of Architecture, Zhejiang University, Hangzhou 310058, China|
2. Department of Regional andUrban Planning, Zhejiang University, Hangzhou 310058, China
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摘要:

提出针对遥感影像矢量化图形的多层次优化方法.该方法对边界进行纳入共线点的平滑处理,以此削弱由栅格数据离散化造成的误差;通过单层次的压缩以去除大部分对形状影响不大的冗余节点;执行自适应多层次的压缩,从而使各类地物的边界最大限度地逼近真实轮廓.以多幅图形为例,从对影像分割尺度的适应性、空间分辨率的适应性2方面与传统方法作了大量对比实验,证明了该方法的有效性和鲁棒性.

Abstract:

A multi-level optimization method for vector graphs converted from remote sensing images was proposed. The smoothing operation was implemented on curves with collinear nodes included in order to reduce the errors generated by the discretization of raster data. The single-level compression operation was implemented to remove most of the redundant nodes which have less effect on the shape of curves. The adaptive multi-level compression operation was executed to make all kinds of curves be close to the real boundaries as much as possible. A large number of comparative experiments were conducted in the aspects of adaptability both to segmentation scale and spatial resolution, using diversities of vector graphs. Results proved the effectiveness and robustness of the method.

出版日期: 2013-04-01
:  TP 391  
基金资助:

 国家国际科技合作计划资助项目(2010DFA92720);国家“863”高技术研究发展计划资助项目(2009AA12Z121).

通讯作者: 陈秋晓, 男, 副教授.     E-mail: zju_wuning2003@126.com
作者简介: 吴宁(1984—), 男, 博士生, 从事参数化城市设计、区域与城市规划的研究.
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引用本文:

吴宁, 陈秋晓, 周玲, 万丽. 遥感影像矢量化图形的多层次优化方法[J]. J4, 2013, 47(4): 581-587.

WU Ning, CHEN Qiu-xiao, ZHOU Ling, WAN Li. Multi-level method of optimizing vector graphs converted from remote sensing images. J4, 2013, 47(4): 581-587.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2013.04.003        http://www.zjujournals.com/eng/CN/Y2013/V47/I4/581

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