A Multi-Source Heterogeneous Data Fusion Method Based on Deep Learning
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DOI: 10.25236/IIICEC.2019.023
Author(s)
Xiaomei Yang, Wenqiang Guo, Zhonghua Zhao
Corresponding Author
Xiaomei Yang
Abstract
in the Context of Big Data, Combined with Deep Learning, This Paper Discusses the Problem of Multi-Source Heterogeneous Image Data Fusion. Based on the Basic Framework of Data Fusion, a Depth Generalization Model of Multi-Source and Heterogeneous Image Data Fusion is Designed. the Deep Learning Technology is Applied to the Information Extraction and Mining of Multi-Source and Heterogeneous Data.
Keywords
Deep Learning; Multi-Source Heterogeneous Data; Data Fusion; Information Extraction