Research on Multi-Source Ocean Data Fusion and Intelligent Analysis Technology

With the continuous advancement of marine scientific research and the increasing exploitation of ocean resources, the acquisition of marine data has become increasingly diverse, encompassing a wide range of sources and types. Marine data now originates from multiple sensors, such as satellite remote sensing, buoys, and research vessels, and spans various fields including meteorology, oceanography, and biology. The challenge of effectively integrating these vast and heterogeneous multi-source data, and utilizing intelligent analysis techniques to extract valuable information, has become one of the major obstacles in current marine research. This paper delves into the theoretical methods and technological frameworks of multi-source ocean data fusion, with a particular focus on the application of intelligent analysis techniques in marine data, especially in the areas of marine resource management, climate change prediction, and ecological environment monitoring. Through the synergistic integration of different data sources and intelligent analysis technologies, more accurate and efficient marine environmental assessments and forecasts can be achieved, promoting the deep integration of marine scientific research and practical applications.