北京测绘2025，Vol.39Issue(3)：345-349,5.DOI:10.19580/j.cnki.1007-3000.2025.03.017
基于遥感影像的土地利用变化检测方法
Land use change detection method based on remote sensing images
肖芬1
作者信息
- 1. 凯里市自然资源局,贵州 凯里 556000
- 折叠
摘要
Abstract
To address the issues of low currency and accuracy in land use change detection,this paper employed an annual change detection approach tailored to the current land use status(CLUS).By utilizing two sets of high-resolution remote sensing images from WorldView-2(WV2)in 2020 and SuperView-1(SV1)in 2021 as data sources,the paper applied an optimized bimodal split threshold method to identify and eliminate the interference of building shadows,thereby laying a solid foundation for subsequent change detection tasks.Subsequently,by leveraging a siamese neural network(SNN),a change detection model was constructed and optimized through geographic information system(GIS)processing,so as to rapidly locate regions with varying CLUS.Experimental results demonstrate that the proposed method can rapidly and accurately identify and locate the regions with varying CLUS in images collected at different periods,exhibiting remarkable detection performance while maintaining a lightweight nature.This paper provides a reference for research and applications related to similar change detection tasks.关键词
影像变化检测(ICD)/阴影检测(SD)/土地利用现状(CLUS)/孪生神经网络(SNN)Key words
image change detection(ICD)/shadow detection(SD)/current land use status(CLUS)/siamese neural network(SNN)分类
天文与地球科学引用本文复制引用
肖芬..基于遥感影像的土地利用变化检测方法[J].北京测绘,2025,39(3):345-349,5.
