Work

A Distributed Data Management and Service Framework for Heterogeneous Remote Sensing Observations

Year: 2025

Type: article

Abstract: Remote sensing imagery is a fundamental data source in spatial information science and is widely used in earth observation and geospatial applications. The explosive growth of such data poses significant challenges for online management and service, particularly in terms of storage scalability, processing efficiency, and real-time accessibility. To overcome these limitations, we propose DDMS, a distributed data management and service framework for heterogeneous remote sensing data that structures its functionality around three core components: storage, computing, and service. In this framework, a distributed integrated storage model is constructed by integrating file systems with database technologies to support heterogeneous data management, and a parallel computing model is designed to optimize large-scale image processing. To verify the effectiveness of the proposed framework, a prototype system was implemented and evaluated with experiments on representative datasets, covering both optical and InSAR images. Results show that DDMS can flexibly adapt to heterogeneous remote sensing data and storage backends while maintaining efficient data management and stable service performance. Stress tests further confirm its scalability and consistent responsiveness under varying workloads. DDMS provides a practical and extensible solution for large-scale online management and real-time service of remote sensing images. By enhancing modularity, scalability, and service responsiveness, the framework supports both research and practical applications that depend on massive earth observation data.

Source: Remote Sensing

DOI: 10.3390/rs17244009

Authors: Hongquan Cheng, Huayi Wu, Jie Zheng, Zhenqiang Li, Kunlun Qi, Jianya Gong, Longgang Xiang, Yipeng Cao

Institutions: Guangdong University of Technology, Wuhan University, State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, China University of Geosciences

Language: English

Topic: Distributed and Parallel Computing Systems

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $3,258

Funders: National Natural Science Foundation of China, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing