Deep learning in multimodal remote sensing data fusion: A comprehensive review

Jiaxin Li, Danfeng Hong, Lianru Gao, Jing Yao, Ke Zheng, Bing Zhang, Jocelyn Chanussot

Abstract: Highlights•A systematic review of deep learning-based multimodal remote sensing data fusion.•Statistical analysis of relevant literature is conducted.•Seven prevalent sub-fields in multimodal remote sensing data fusion are detailed.•Some available resources, including tutorials, datasets, and codes, are provided.•Deep learning yields great achievements in multimodal remote sensing data fusion.