微型电脑应用2025，Vol.41Issue(4)：60-63,83,5.
基于多源异构环境数据的生态环境预测算法综述
A Review of Ecological Environment Prediction Algorithms Based on Multi-source Heterogeneous Environmental Data
摘要
Abstract
Ecological environment prediction is one of the key technologies for environmental protection and an important means to address global environmental issues such as climate change.With the rapid development of technologies such as remote sens-ing,the Internet of Things and geographic information systems,an increasing variety of environmental data can be obtained.Therefore,efficiently utilizing these data to achieve ecological environment prediction becomes one of the research hotspots.This paper focuses on the fusion analysis and application of meteorological,soil and water quality data,including the acquisition and processing methods of different modal environmental data,summarizes the research on multi-modal environmental data fu-sion analysis and the application of deep learning in multi-modal environmental data fusion analysis.This paper also summarizes the existing problems in the current research and looks forward to the future research directions.关键词
数据融合/深度学习/生态环境预测/多模态Key words
data fusion/deep learning/ecological environment prediction/multi-modal分类
信息技术与安全科学引用本文复制引用
余俊龙,胡雯婧,梁雷,张静,刘奇鹏,蒋龙泉..基于多源异构环境数据的生态环境预测算法综述[J].微型电脑应用,2025,41(4):60-63,83,5.基金项目
临港新片区高新产业和科技创新专项项目(SH-LG-GK-2020-02-11) （SH-LG-GK-2020-02-11）
