Single image super-resolution via regularized extreme learning regression for imagery from microgrid polarimeters

Sargent, Garrett C.; Ratliff, Bradley M.; Asari, Vijayan K.

doi:10.1117/12.2273945

Cited by 1 publication

(1 citation statement)

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“…In the above polarimetric observations, multiple images of the moon in different polarization directions needed to be taken at different times [ 11 , 14 ], but this potentially increased the alignment error. Due to the technological advances in fine micro-nano-processing techniques, high-resolution polarization imaging has become feasible [ 18 , 19 , 20 , 21 ].…”

Section: Introductionmentioning

confidence: 99%

A New Method for Ground-Based Optical Polarization Observation of the Moon

Wang,

Ping,

Zhang

et al. 2024

Sensors

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As a natural satellite of the Earth, the moon is a prime target for planetary remote sensing exploration. However, lunar polarization studies are not popular in the planetary science community. Polarimetry of the lunar surface had not been carried out from a spacecraft until the Korean lunar exploration program was initiated. In previous polarization observations of the moon, images of different polarization states were obtained by a rotating linear polarizer. This method is not well suited for future polarization observations from space-based spacecraft. To this end, we present a new kind of polarized observation of the moon using a division of a focal-plane polarization camera and propose a pipeline on the processing method of the polarization observation of the moon. We obtain a map of the degree of white-light polarization on the nearside of the moon through polarization observation, data processing, and correction. The observation and data processing methods presented in this study have the potential to serve as a reference for analyzing polarization observation data from future orbiting spacecraft. These are expected to lead to new discoveries in the fields of astronomy and planetary science.

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