Recent developments in nanophotonics enable the practical
realization
of ultracompact full-Stokes polarimeters and imaging devices based
on the well-defined polarization-sensitive structures of subwavelength
size. However, the resonant feature of building blocks and the limited
ability of the current processing technology greatly limit their detection
accuracy and working waveband. Herein, we experimentally demonstrate
a highly precise and broadband full-Stokes polarimeter based on the
high-performance dielectric chiral shells (DCSs) and the deep learning
(DL) algorithm. The large-area dielectric chiral metasurfaces (DCMs)
fabricated by depositing Si on the self-assembled microsphere monolayer
own a large transmittance, strong chirality, and anisotropy in the
visible waveband, which enable the effective perception of the polarization
state of light. The Stokes parameters are successfully detected by
measuring several transmittances from DCSs with different rotation
angles, i.e., Î, and then analyzing with the
pre-established mapping relationship between the Stokes parameters Ŝ and the recorded transmittance Î based on the DL algorithm, i.e., Ŝ = f(Î). In contrast to the traditional
polarimeters, the detection accuracy based on the DL approach seems
insensitive to the fabrication errors. A mean square error (MSE) of
smaller than 0.5% at 760.06 nm was recorded, and an averaged MSE of
less than 4% for Stokes parameters over a broad waveband from 400
to 840 nm was obtained, although the optical anisotropy and chirality
of DCMs own a strong dispersion feature. The small MSE in a broad
waveband, together with the easily accessing DCMs, make our polarimeter
as the most potential candidate for future applications, such as the
color polarization imaging devices and the ultraviolent polarimeter.