Compared to color imaging, hyperspectral imaging (HSI) has a significant advantage in identifying the objects based on their material spectral characteristics. Though multispectral imaging (MSI) is intended to overcome the speed and spatial resolution limitations of the HSI modalities, it pays severe penalties in detection and recognition tasks. In this article, we propose a novel MSI modality by designing a spectral filter array (SFA) based on the Fourier transform spectroscopy. We refer to this new SFA pattern as Fourier SFA. Compared to the MSI modalities based on narrowband filtering, Fourier SFA reconstructs spectral features more faithfully.
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Jia et al. (2015) studied this question.
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