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Foundation model for generalist remote sensing intelligence: Potentials and prospects — Supplementary Material
Science Bulletin. 2024 Sep 19.
Zhang M, Yang B, Hu X, Gong J#, Zhang Z.
The paper systematically analyzes the progress of remote sensing big models in scene classification/retrieval, object detection, land cover classification (semantic segmentation), change detection, video tracking, and geoscience applications in the past 5 years at home and abroad. It proposes a unified computing framework for remote sensing big models, including domain specific deep learning frameworks and sample libraries, fusion and fine-tuning of multimodal geoscience domain knowledge, bidirectional human-machine feedback mechanism, quality and reliability evaluation, and transparent downstream application models. Based on this framework, the research team has developed a multimodal multi task remote sensing large model LuoJia with 2.8 billion parameters SmartSensing (Luojia The prototype system was successfully deployed at Shandong Haiyang Dongfang Aerospace Port, inspired by the project.
