智能城市2026，Vol.12Issue(5)：97-100,4.DOI:10.19301/j.cnki.zncs.2026.05.024
复杂场景下货运源头的高分遥感变化检测与人机协同优化方法
High-resolution remote sensing change detection and human-machine collaborative optimization method for freight sources in complex scenes
郑兴丽1
作者信息
- 1. 中色蓝图科技股份有限公司,北京 101300
- 折叠
摘要
Abstract
To address the issues of low efficiency and insufficient accuracy in freight source supervision under complex scenarios,the paper proposes a high-resolution remote sensing change detection model that integrates human-machine collaborative optimization.By constructing a multi-feature interpretation sign library and performing automated initial screening,combined with a hierarchical human-machine collaboration mechanism for precise target judgment and iterative result optimization.Verification was conducted in a typical area of Beijing.The results show that the model achieved an overall accuracy of 92.7%and a Kappa coefficient of 0.89,improving efficiency by about 60%compared to purely manual interpretation.This model balances automated efficiency with the reliability of human interpretation,providing a precise and efficient technical solution for dynamic supervision of freight sources.关键词
高分遥感/变化检测/人机协同/货运源头监管/复杂场景Key words
high-resolution remote sensing/change detection/human-computer collaboration/freight source supervision/complex scene分类
信息技术与安全科学引用本文复制引用
郑兴丽..复杂场景下货运源头的高分遥感变化检测与人机协同优化方法[J].智能城市,2026,12(5):97-100,4.
