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