Extended Data Fig. 6: The spectral reconstruction network (SRNet) structure and exemplar reconstructed results.
From: A broadband hyperspectral image sensor with high spatio-temporal resolution
a, The overall framework of SRNet. SRNet is a hybrid neural network that combines the core features of Transformer and CNN architectures for efficient, high-precision reconstruction. b, The framework of the Spectral Attention Module (SAM). SAM is the basic component of SRNet, which calculates the attention across spectral channel dimensions, extracting the spectral features of HSIs. c,d, Measurements and corresponding spectral reconstruction result (presented as the synthesized RGB form). The measurements were acquired using the HyperspecI-V1 sensor. Close-ups are provided, marked in the measurements with rectangular outlines.
