智能电力巡检中基于卫星遥感的环境要素提取方法
Environmental Element Extraction Method Based on Satellite Remote Sensing in Intelligent Power Inspection
赵寅峰 1张竟超 1陈少宏 2任雅茹 3王大鹏4
作者信息
- 1. 内蒙古电力(集团)有限责任公司内蒙古超高压供电分公司,内蒙古呼和浩特 010000
- 2. 内蒙古电力(集团)有限责任公司,内蒙古呼和浩特 010000
- 3. 内蒙古大学,内蒙古呼和浩特 010000
- 4. 北京星视域科技有限公司,北京 100085
- 折叠
摘要
在智能电力巡检中,越来越多的研究将卫星遥感技术与人工智能技术相结合,并将其应用于超高压输电线路通道巡检任务.文章针对超高压输电线路通道巡检,分别对道路、交叉跨越点及建筑物3类环境要素的识别与提取开展深入研究,提出适合的方法.通过在我国内蒙古自治区西部地区超高压输电线路的高分辨率卫星遥感影像上的验证,表明了文章方法相比于现有方法可更加有效地提取智能电力巡检过程中的环境要素.
Abstract
In the field of intelligent power inspection,more and more research is combining satellite remote sensing technology with artificial intelligence technology and applying it to the inspection task of ultra-high voltage transmission line channels.This article focuses on the inspection of ultra-high voltage transmission line channels,and conducts in-depth research on the identification and extraction of three types of environmental elements:roads,crossing points,and buildings.Suitable methods are proposed in sequence.Through verification on high-resolution satellite remote sensing images of ultra-high voltage transmission lines in the western region of Inner Mongolia Autonomous Region,it is shown that the proposed method can more effectively extract environmental factors during power inspection compared to existing methods.
关键词
智能巡检/卫星遥感/语义分割/道路提取/建筑物提取Key words
intelligent inspection/satellite remote sensing/semantic segmentation/road extraction/building extraction引用本文复制引用
基金项目
内蒙古自治区科技计划(2022YFSJ0004)
出版年
2024
NETL
NSTL
万方数据