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基于道路绿地特征的遥感影像道路信息提取方法研究

董占杰 毛政元

国土资源遥感Issue(2):43-46,4.
国土资源遥感Issue(2):43-46,4.

基于道路绿地特征的遥感影像道路信息提取方法研究

Methodological Research on Road Extraction Based on Characteristics of Road Greenbelts in Remotely Sensed Imagery

董占杰 1毛政元1

作者信息

  • 1. 福州大学空间数据挖掘与信息共享教育部重点实验室,福建省空间信息工程研究中心,福州,350002
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摘要

Abstract

In consideration of characteristics of road greenbelts in high spatial resolution satellite imagery, this paper proposes a method combining features of shape with those of spatial distribution of road greenbelts to recognize road edges and road centerlines. The method first extracts greenbelt information from a NDVI image, then differentiates road greenbelts from other greenbelts by means of linear features of road greenbelts and their related shape indices such as area, principal axis direction, compactness, rectangularity, and ratio of width and length. After that, the road greenbelts adjacent to other greenbelts are separated by generating buffers of known mad greenbelts as well as according to the spatial relationships between different greenbelts and between road greenbelts and other greenbelts. Finally mad edges and read centerlines are extracted in accordance with the direction and distance characteristics of mad greenbelts.

关键词

遥感影像/道路提取/道路绿地/形状特征/空间关系特征

Key words

Remotely sensed imagery/ Road extraction/ Road greenbelt/ Shape feature/ Characteristics of spatial relationship

分类

信息技术与安全科学

引用本文复制引用

董占杰,毛政元..基于道路绿地特征的遥感影像道路信息提取方法研究[J].国土资源遥感,2011,(2):43-46,4.

基金项目

国家自然科学基金项目(编号:40871206) (编号:40871206)

国家科技支撑计划项目(编号:2007BAH16801). (编号:2007BAH16801)

国土资源遥感

OA北大核心CSCDCSTPCD

2097-034X

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