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基于计算机视觉的遥感影像道路提取方法研究

程思航

数码设计Issue(24):65-67,3.
数码设计Issue(24):65-67,3.

基于计算机视觉的遥感影像道路提取方法研究

Research on Road Extraction Methods from Remote Sensing Imagery Based on Computer Vision

程思航1

作者信息

  • 1. 武汉东湖学院,武汉 430212
  • 折叠

摘要

Abstract

Road extraction is an important topic in remote sensing information extraction.The task of road extraction from remote sensing imagery holds significant value and meaning in applications such as autonomous driving,intelligent transportation,disaster relief,and urban digital governance within geographic information services.By conducting in-depth research on road extraction methods based on computer vision,more accurate and reliable road information can be provided for intelligent transportation and autonomous driving,thereby promoting the continuous advancement and expansion of these technologies.Based on this,after a brief analysis of remote sensing imagery road extraction methods based on computer vision,this paper dissected the extraction process of roads from remote sensing imagery and offered personal insights on the application of remote sensing imagery road extraction methods.

关键词

计算机视觉/遥感影像/道路提取方法/智能交通

Key words

computer vision/remote sensing images/road extraction methods/intelligent transportation

分类

信息技术与安全科学

引用本文复制引用

程思航..基于计算机视觉的遥感影像道路提取方法研究[J].数码设计,2024,(24):65-67,3.

数码设计

1672-9129

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