Research on CNN-based hyperspectral and multispectral image fusion methods

Ji Qi; Haitao Yang

doi:10.1117/12.2668470

23 February 2023 Research on CNN-based hyperspectral and multispectral image fusion methods

Ji Qi, Haitao Yang

Proceedings Volume 12551, Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022); 1255115 (2023) https://doi.org/10.1117/12.2668470
Event: Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022), 2022, Changchun, China

Abstract

In order to improve the spatial resolution of hyperspectral images, this paper improves the network structure of SSRNET algorithm and analyzes the functions of various parts of the network model. A comparative experimental analysis was carried out on the urban dataset. Experimental results show that the improved method in this paper has improved to a certain extent in both subjective and objective evaluation.

Citation Download Citation

Ji Qi and Haitao Yang "Research on CNN-based hyperspectral and multispectral image fusion methods", Proc. SPIE 12551, Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022), 1255115 (23 February 2023); https://doi.org/10.1117/12.2668470

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