北京水务Issue(2)：36-42,7.DOI:10.19671/j.1673-4637.2024.01.007
基于Transformer模型的河湖疑似"四乱"图斑遥感智能识别技术研究
Research on intelligent remote sensing recognition technology of suspected"Four Illegal Behaviors"spots in rivers and lakes based on Transformer model
摘要
Abstract
The inspection of the"Four Illegal Behaviors"within river management areas mainly relies on manual patrols and visual interpretation of remote sensing images.This approach results indicated with high costs,low efficiency,and limited problem detection capabilities.Therefore,the key approach to es-tablish regular and effective management of the"Four Illegal Behaviors"lies in the adoption of intelligent recognition technology.However,the"Four Illegal Behaviors"around rivers and lakes are diverse,wide-spread,and covert,which led to low robustness and moderate accuracy in traditional models.To address these challenges,this research focused on four land categories within the management scope of the North Canal River including pond breeding,stacking problems,agricultural greenhouses,and riverfront houses.A comprehensive and localized integrated multi-scale detail intelligent remote sensing deep learning framework was proposed based on the Transformer model.This framework enabled intelligent recognition of large-scale remote sensing images,adapting to multiple types,scales,and levels automatically.Addi-tionally,spatial superposition analysis technology was utilized to efficiently target on the incremental problems associated with the"Four Disruptions,"which provide technical support for water management supervision.These results demonstrated that the proposed model achieved an MIoU(Mean Intersection over Union)of 80.42％and an MPA(Mean Pixel Accuracy)of 85.91％in the prediction and identification of supervised objects related to the"Four Illegal Behaviors"in rivers and lakes within the North Canal Ba-sin.These findings will meet the requirements of water management tasks and offer valuable insights for related issues.关键词
智能识别/河湖四乱/Transformer神经网络/北运河流域Key words
intelligent identification/"Four Illegal Behaviors"of river and lake/Transformer neural network/North Canal basin分类
资源环境引用本文复制引用
王越,昝糈莉,李兆永,邸苏闯,朱祺琪,李佳伦,王彦强,李巧玲..基于Transformer模型的河湖疑似"四乱"图斑遥感智能识别技术研究[J].北京水务,2024,(2):36-42,7.基金项目
2023年度北京水务科技开放项目(SK-2022-001-DSJ):"河湖生态管控空间重点监管对象遥感智能识别技术研究" （SK-2022-001-DSJ）
