山东国土资源2024,Vol.40Issue(8) :37-41.DOI:10.12128/j.issn.1672-6979.2024.08.006

基于道路轨迹预测模型的遥感影像分类方法研究

Study on Remote Sensing Image Classification Method Based on Road Trajectory Prediction Model

张名华 张洪军 石建 赵春丽 郑伟安 李天鹤
山东国土资源2024,Vol.40Issue(8) :37-41.DOI:10.12128/j.issn.1672-6979.2024.08.006

基于道路轨迹预测模型的遥感影像分类方法研究

Study on Remote Sensing Image Classification Method Based on Road Trajectory Prediction Model

张名华 1张洪军 2石建 2赵春丽 1郑伟安 2李天鹤2
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作者信息

  • 1. 龙口市自然资源和规划局,山东 烟台 265700
  • 2. 山东省国土测绘院,山东 济南 250102
  • 折叠

摘要

本文研究了基于道路轨迹预测模型的遥感影像分类方法,回顾遥感图像道路提取的研究背景,分析了影响道路提取的关键因素,包括图像分辨率和算法的自动化程度.文章详细阐述了道路要素的遥感影像提取方法,包括快速道路、主干道和次干道的提取策略.在快速道路提取方面,采用面向对象分类思想和规则集构建技术;在主干道提取中,则利用循环规则集构建和数学形态学处理相结合的方法;对于次干道提取,文章提出了图像预处理和次干道线特征提取的步骤.这些方法为遥感影像中的道路分类和提取提供了有效的技术支撑.

Abstract

In this paper,remote sensing image classification method has been studied based on road trajecto-ry prediction model,research background of remote sensing image road extraction has been reviewed,and key factors affecting road extraction have been analyzed,including image resolution and algorithm automa-tion degree.Remote sensing image extraction methods of road elements,including the extraction strate-gies of fast road,main road and secondary road.In the aspect of fast path extraction,object-oriented classification and rule set construction technology are adopted.In main road extraction,the method combi-ning the construction of cyclic rule set and mathematical morphology processing has been used.For sub-trunk extraction,the steps of image preprocessing and sub-trunk feature extraction have been proposed.These methods will provide effective technical support for road classification and extraction in remote sens-ing images.

关键词

高分辨率遥感影像/道路提取/道路轨迹预测模型

Key words

High-resolution remote sensing image/road extraction/road trajectory prediction model

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出版年

2024
山东国土资源
山东省地质科学实验研究院

山东国土资源

影响因子:0.385
ISSN:1672-6979
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