Abstract
Hyperspectral image (HSI) provides rich spectral information, which has been used in object detection, environmental protection. However, HSI suffers from low spatial resolution owing to the limitations of imaging systems. Hyperspectral and multispectral image (MSI) fusion is an efficient way to enhance the spatial resolution of HSI. In past decades, many HSI and MSI fusion algorithms have been presented in the literature. In this paper, we present a comprehensive review for the HSI-MSI fusion methods. According to the characteristics and trend of HSI-MSI fusion methods, they are categorized as two classes: model-driven approaches and data-driven approaches. We clarify their characteristics, advantages and also make a comparison and discussion for the fusion methods in each category. Additionally, we analyze the existing challenges and present the potential research directions for HSI - MSI fusion method.
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