河南科技大学学报（自然科学版）2025，Vol.46Issue(2)：1-10,10.DOI:10.15926/j.cnki.issn1672-6871.2025.02.001
基于区块链的多模态遥感大数据治理方法与系统
A Blockchain-Based Governance Method and System for Multimodal Remote Sensing Big Data
摘要
Abstract
Remote sensing technology,as a crucial means of acquiring Earth observation information,plays an increasingly important role in areas such as resource monitoring,environmental protection,disaster prevention,and urban planning.With the rapid advancement of remote sensing technologies and platforms,the volume of remote sensing data is growing exponentially,exhibiting characteristics of multi-source,multi-scale,multi-temporal,and multimodal big data.Existing governance systems for remote sensing data predominantly rely on centralized data management schemes,which are inadequate for meeting the demands of high-concurrency access in cross-departmental data sharing,as well as requirements for data immutability and traceability.To address these challenges,this paper proposes a blockchain-based method and system for the governance of multimodal remote sensing big data.Built upon heterogeneous distributed storage and a unified metadata repository,the method incorporates blockchain's decentralization,tamper resistance,and traceability features.Hash digests of remote sensing data and key metadata fields are recorded on-chain,and smart contracts are utilized to enable flexible access control and audit tracking.The design and experimental evaluation of the prototype system demonstrate that the proposed method ensures efficient access to large-scale data while significantly enhancing the security and traceability of multimodal remote sensing data in multi-node environments.It effectively detects tampering of off-chain data and supports permission management across departments.关键词
多模态遥感数据/区块链/大数据治理/统一索引/去中心化数据库/智能合约Key words
multi-modal remote sensing data/blockchain/big data governance/unified index/decentralized database/smart contract分类
信息技术与安全科学引用本文复制引用
海那尔·哈那提,张柘,朱利鲁,吴一戎..基于区块链的多模态遥感大数据治理方法与系统[J].河南科技大学学报（自然科学版）,2025,46(2):1-10,10.基金项目
国家重点研发计划项目(2023YFB3904900) （2023YFB3904900）
江苏省前沿技术研发计划项目(BF2024027) （BF2024027）
