Intelligent Intelligence Perception Technology and Applications Based on space-air-ground Multi-Modal Data Fusion

DOI

10.2991/978-94-6463-498-3_3How to use a DOI?

Keywords

Space-air-ground Big Data; Intelligent Intelligence Perception; Target Detection; Power Facilities

Abstract

With the continuous advancement of information technology, aerospace technology has become one of the crucial directions in informatization construction. Intelligent intelligence perception based on the fusion of space-air-ground multi-modal data refers to the acquisition of data through means such as satellites, drones, ground sensors, and open source data, followed by effective fusion and analysis using intelligent technologies. This enables automatic detection, tracking, identification, and early warning of specific targets and tasks, providing decision-makers with valuable comprehensive intelligence information. This study constructs a full-process application service model that includes “unstructured data sharing platform + multi-modal data fusion + big data intelligence analysis + situation monitoring and early warning system”. Then, the study integrates space-air-ground data fusion with the power inspection application field, takes the target detection and recognition of power facilities such as substations and power transmission tower as cases, and explores the intelligent perception of power facilities based on the multi-scale remote sensing image object detection technology of Faster R-CNN. Finally, it contemplates the application scenarios for intelligent intelligence perception based on space-air-ground data fusion with other core technologies, including the Space-air big data service center, the remote sensing monitoring platform for major scientific and technological industrial projects, the “one-map” intelligence monitoring platform for science and technology industrial projects, and the terminal intelligent intelligence perception service integrating large language models.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Zhuo Lin
PY  - 2024
DA  - 2024/08/22
TI  - Intelligent Intelligence Perception Technology and Applications Based on space-air-ground Multi-Modal Data Fusion
BT  - Proceedings of 2023 China Science and Technology Information Resource Management and Service Annual Conference (COINFO 2023)
PB  - Atlantis Press
SP  - 15
EP  - 24
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-498-3_3
DO  - 10.2991/978-94-6463-498-3_3
ID  - Lin2024
ER  -