Research on panchromatic and multispectral image fusion methods based on component substitution

Ji Qi; HaiTao Yang; Zhuo Kong

doi:10.1117/12.2669066

10 February 2023 Research on panchromatic and multispectral image fusion methods based on component substitution

Ji Qi, HaiTao Yang, Zhuo Kong

Proceedings Volume 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022); 1255222 (2023) https://doi.org/10.1117/12.2669066
Event: International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 2022, Kunming, China

Abstract

Multi-source remote sensing image fusion is a data processing technology that complements two or more remote sensing images taken from the same target of multiple sensors to obtain more accurate and perfect comprehensive images. Image fusion is not only an important part of remote sensing detection data processing, but also has a wide range of applications in environmental detection, precision agriculture, urban planning and other fields. Based on the method of component substitution, this paper discusses the image fusion methods of Brovey transform, IHS transformation, PCA transformation and weighted fusion, and performs fusion experiments and analyses on four methods, and finally summarizes and makes prospects.

Citation Download Citation

Ji Qi, HaiTao Yang, and Zhuo Kong "Research on panchromatic and multispectral image fusion methods based on component substitution", Proc. SPIE 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 1255222 (10 February 2023); https://doi.org/10.1117/12.2669066

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