基于遥感时序分析的巢湖水域水资源时空分布特征提取  

On Extraction of Spatiotemporal Distribution Characteristics of Water Resources in Chaohu Lake Based on Remote Sensing Time Series Analysis

作　　者：周杨 刘运 ZHOU Yang;LIU Yun(School of Artificial Intelligence and Manufacturing,Hefei Vocational College of Finance and Economics,Hefei 230601,China;School of Computer and Artificial Intelligence,Chaohu University,Hefei 238024,China)

机构地区：[1]合肥财经职业学院人工智能与制造学院,安徽合肥230601 [2]巢湖学院计算机与人工智能学院,安徽合肥238024

出　　处：《浙江水利水电学院学报》2025年第1期30-36,共7页Journal of Zhejiang University of Water Resources and Electric Power

基　　金：安徽省高校自然科学研究重点项目(2024AH051792)。

摘　　要：为解决遥感技术获取的巢湖水资源数据提取精度差的问题,提出了基于遥感时序分析的巢湖水域水资源时空分布特征提取方法。采用系统分析,通过遥感数据校正处理构建精确的水资源时间序列数据集,运用时间序列分析提取关键水资源遥感特征,结合水质参数估算与空间分析明确水资源的空间特征,利用时空自回归模型将时间特征与空间特征融合,精确提取巢湖水域水资源的时空分布特征,显著提升了水资源监测的精度与实用性。实验结果表明,该方法在实际应用中交并比、召回率与F1得分均高于对比方法,证明该方法在时空分布特征提取上具有较高的精度和稳定性,体现了显著的优越性。In order to solve the problem of poor extraction accuracy of Chaohu Lake water resources data obtained by remote sensing technology,the extraction method of spatiotemporal distribution characteristics based on remote sensing time series analysis was proposed.Innovatively,a systematic analysis was adopted to construct an accurate water resources time series dataset through remote sensing data correction processing.Key water resources remote sensing features were extracted using time series analysis,and the spatial characteristics of water resources were clarified by combining water quality parameter estimation and spatial analysis.The spatiotemporal autoregressive model was used to fuse the temporal and spatial characteristics,accurately extracting the spatiotemporal distribution characteristics of water resources in the Chaohu Lake water area,significantly improving the accuracy and practicality of water resources monitoring.The experimental results show that the intersection to union ratio,recall rate,and F1 score of this method are higher than those of the comparative methods in practical applications,which proves the superiority of this method in extracting spatiotemporal distribution features,with high extraction accuracy and stability.

关 键 词：巢湖水域 水资源 遥感数据 分布特征 

分 类 号：TV211[水利工程—水文学及水资源]