Research on geospatial technology optimization based on GeoAI multi-objective optimization

IF 2.8 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
Li Zhu, Shangcao Li, Qi Zhou, Junjun Liu, Jing Tian
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引用次数: 0

Abstract

This research focuses on the key technologies of network-based collaboration for Geospatial Artificial Intelligence (GeoAI) services. This paper proposes a geospatial technology model based on GeoAI multi-objective optimization to address the challenges of multi-source heterogeneous models and services in collecting, processing, and analyzing geospatial coverage information. This technology constructs geospatial coverage processing services through programmatic encapsulation and model service methods. At the same time, a service class publishing method based on OGC standards was designed. Secondly, this article adopts a capacity modeling approach to cover and transfer geographic spatial coverage models, solving the problems of model utilization and massive data transmission. Mapping network processing services to REST through logical design, providing support for heterogeneous style geographic coverage processing service interactions for sharing and utilization. A geographic spatial prototype system was designed in the study, and the effectiveness of the proposed method was verified through experiments. The development of this study is of great significance for promoting the mutual collaboration of multi-source heterogeneous models and achieving effective utilization and sharing of geographic spatial resources.

Abstract Image

基于GeoAI多目标优化的地理空间技术优化研究
本文研究了地理空间人工智能(GeoAI)服务基于网络协同的关键技术。针对地理空间覆盖信息采集、处理和分析中存在的多源异构模型和服务问题,提出了一种基于GeoAI多目标优化的地理空间技术模型。该技术通过编程封装和建模服务方法构建地理空间覆盖处理服务。同时,设计了一种基于OGC标准的服务类发布方法。其次,本文采用容量建模方法对地理空间覆盖模型进行覆盖和迁移,解决了模型利用和海量数据传输的问题。通过逻辑设计将网络处理服务映射到REST,为异构风格的地理覆盖处理服务交互提供共享和利用支持。设计了地理空间原型系统,并通过实验验证了该方法的有效性。本研究的开展对于促进多源异构模型的相互协作,实现地理空间资源的有效利用与共享具有重要意义。
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来源期刊
Environmental Earth Sciences
Environmental Earth Sciences 环境科学-地球科学综合
CiteScore
5.10
自引率
3.60%
发文量
494
审稿时长
8.3 months
期刊介绍: Environmental Earth Sciences is an international multidisciplinary journal concerned with all aspects of interaction between humans, natural resources, ecosystems, special climates or unique geographic zones, and the earth: Water and soil contamination caused by waste management and disposal practices Environmental problems associated with transportation by land, air, or water Geological processes that may impact biosystems or humans Man-made or naturally occurring geological or hydrological hazards Environmental problems associated with the recovery of materials from the earth Environmental problems caused by extraction of minerals, coal, and ores, as well as oil and gas, water and alternative energy sources Environmental impacts of exploration and recultivation – Environmental impacts of hazardous materials Management of environmental data and information in data banks and information systems Dissemination of knowledge on techniques, methods, approaches and experiences to improve and remediate the environment In pursuit of these topics, the geoscientific disciplines are invited to contribute their knowledge and experience. Major disciplines include: hydrogeology, hydrochemistry, geochemistry, geophysics, engineering geology, remediation science, natural resources management, environmental climatology and biota, environmental geography, soil science and geomicrobiology.
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