Abstract: In response to the severe challenges and demands faced in the current firefighting and rescue sector, such as increasing fire complexity, harsh rescue environments, and difficulties in information acquisition, this paper elaborates on the architectural design of the Hangzhou aerial-space-ground video resource base, focusing on spatiotemporal alignment, feature extraction, and fusion algorithms for multi-source heterogeneous aerial-space-ground video resources. It proposes strategies for leveraging the fusion of aerial-space-ground video resources to enhance firefighting and rescue capabilities. The paper demonstrates the foresight and practicality of utilizing aerial-space-ground video resource data fusion technology to empower firefighting and rescue efforts in Hangzhou, while also providing robust technical support and practical examples for data fusion applications in firefighting and rescue operations.

Key words: aerial-space-ground video resource base, data fusion, fire and rescue