高分辨率遥感影像在土地工程监测中的应用
Application of High Resolution Remote Sensing Images in Land Engineering Monitoring
楚水滔 1向玉 1刘欣悦1
作者信息
- 1. 湖南省自然资源事务中心,湖南长沙 410000
- 折叠
摘要
传统的土地监测技术因其时效性与精确性上的局限,已逐渐不能满足现代土地工程监测的需求.随着遥感技术的迅速发展,高分辨率遥感影像因其能够提供更为细致且准确的地面信息,被广泛应用于土地工程的监测与管理中.因此,文章提出一种基于Yolov5的遥感土地检测方法,实现了对土地关键领域的高效监测.首先,对当前高分辨率遥感技术的发展背景、技术特点及其在土地工程监测中的应用现状进行了系统梳理.其次,提出一种基于Yolov5的遥感土地检测方法,包括图像预处理、特征提取、变化检测及分类等步骤.最后,选取了不同地区土地数据,应用高分辨率遥感影像技术进行了细致的监测分析.结果表明,高分辨率遥感技术能够有效识别和监测工程建设过程中的土地利用变化,及时发现潜在的安全问题.
Abstract
Traditional land monitoring techniques are gradually unable to meet the needs of mod-ern land engineering monitoring due to their limitations in timeliness and accuracy.With the rapid development of remote sensing technology,high-resolution remote sensing images arc widely used in the monitoring and management of land engineering due to their ability to pro-vide more detailed and accurate ground information.Therefore,this article proposes a remote sensing land detection method based on Yolov5,which achieves efficient monitoring of key are-as of land.Firstly,a systematic review was conducted on the development background,technical characteristics,and current application status of high-resolution remote sensing technology in land engineering monitoring.Secondly,a remote sensing land detection method based on Yolov5 is proposed,which includes steps such as image preprocessing,feature extraction,change detec-tion,and classification.Finally,land data from different regions were selected and high-resolu-tion remote sensing image technology was applied for detailed monitoring and analysis.The re-sults indicate that high-resolution remote sensing technology can effectively identify and moni-tor land use changes during engineering construction,and timely identify potential safety issues.
关键词
高分辨率/遥感影像/土地工程/卷积神经网络/Yolov5Key words
High resolution/Remote sensing images/Land engineering/Convolutional neural networks/Yolov5引用本文复制引用
出版年
2024
NETL
NSTL
万方数据