北京测绘2026，Vol.40Issue(6)：772-780,9.DOI:10.19580/j.cnki.1007-3000.2025070021
基于AI遥感解译的生态环保督察要素智能识别提取模型
Intelligent identification and extraction model for ecological and environmental protection inspection elements based on AI remote sensing interpretation
陈江红 1张伟 1邵春霖2
作者信息
- 1. 北京市生态环境保护督察中心,北京 101117
- 2. 北京数云智源技术有限公司,北京 100071
- 折叠
摘要
Abstract
To address the pain points such as the wide regional coverage,strong concealment of problems,and high diffi-culty of manual screening in ecological and environmental protection inspection work,this paper combined high-resolution remote sensing image data with artificial intelligence(AI)remote sensing interpretation technology.Relying on the machine learning module of Supermap iDesktopX and deep learning algorithms of convolutional neural networks,an intelligent identi-fication and extraction model was constructed,covering five categories of inspection elements:construction sites,sand and gravel yards,mixing stations,domestic waste,and construction waste.By taking Miyun District and Yanqing District of Beijing as pilot areas,this model was applied to carry out the automatic identification and extraction of the five categories of inspection elements.The results show that the constructed identification model for these five categories can all efficiently and accurately identify various inspection clues within the target areas,and the identification accuracy meets the expected stan-dards.This research provides an innovative technical means for ecological and environmental protection inspection work and provides theoretical support and practical reference for the popularization and application of AI remote sensing interpretation technology in the field of ecological and environmental protection.关键词
智能遥感解译/生态环保督察/深度学习Key words
intelligent remote sensing interpretation/ecological and environmental protection inspection/deep learning分类
天文与地球科学引用本文复制引用
陈江红,张伟,邵春霖..基于AI遥感解译的生态环保督察要素智能识别提取模型[J].北京测绘,2026,40(6):772-780,9.
