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Snapshot-Type Polarization Spectral Imaging Resolution Enhancement Based on Dual-Channel Complementary Microarray Coding Imaging Fusion

Authors :
Wang, Yaoli
Zhang, Rui
Wang, Zhibin
Xue, Peng
Cui, Min
Li, Mengwei
Source :
IEEE Sensors Journal; August 2023, Vol. 23 Issue: 15 p17127-17132, 6p
Publication Year :
2023

Abstract

Snapshot-type polarization spectral imaging is a crucial dynamic high-speed target detection method in remote sensing in space because it has a high temporal resolution. However, the sparse representation of snapshot-type imaging in spectral or spatial dimension leads to low spectral or spatial resolution. To resolve the problem, we propose double-channel complementary microarray coding for snapshot-type polarization spectral imaging by utilizing the transmission and reflection complementary principle of a single microarray coding plate, the dual-channel multispectral and hyperspectral (HS) image fused to enhance the resolution of polarization spectral imaging. This study combined with the principle of intensity modulation used in full polarization measurements and established the spectral modulation and reconstruction model of dual-channel complementary microarray coding. According to the principle of dual-channel complementary snapshot polarization spectral imaging proposed in this article, the dual-channel multispectral and HS image fusion model was set up. This study improved the snapshot polarization spectral imaging spectral and spatial resolutions, increased the spatial resolution PSNR by 3 dB, and made the spectral resolution significantly higher. The findings of this study can assist in achieving high temporal resolution, high spectral resolution, high spatial resolution, and fully polarized snapshot-type polarization spectral imaging.

Details

Language :
English
ISSN :
1530437X and 15581748
Volume :
23
Issue :
15
Database :
Supplemental Index
Journal :
IEEE Sensors Journal
Publication Type :
Periodical
Accession number :
ejs63684160
Full Text :
https://doi.org/10.1109/JSEN.2023.3285472