@inproceedings{06a2bb9ae0de4418b5378ce20cd8f24c,
title = "Spectral reconstruction with model-based neural network for liquid crystal modulator devices",
abstract = "The liquid crystal modulator devices (LCMD) have become an important technique in the field of hyperspectral imaging. However, the spectral resolution and accuracy of LCMD-based imaging spectrometers are limited due to their principle. To break this limitation and promote the application of LCMD, we propose a spectral reconstruction method using model-based neural networks. The calibrated spectral transmittance of LCMD and a carefully designed loss function are used to constraint the calculation. Experiments on reconstructing both substance spectra and spectral image cubes have validated the effectiveness and superiority of the proposed method.",
keywords = "LCMD, Model-based neural network, Spectral reconstruction",
author = "Jizhou Zhang and Tingfa Xu and Qingwang Qin and Yuhan Zhang",
note = "Publisher Copyright: {\textcopyright} 2021 COPYRIGHT SPIE.; 12th International Conference on Information Optics and Photonics, CIOP 2021 ; Conference date: 23-07-2021 Through 26-07-2021",
year = "2021",
doi = "10.1117/12.2604353",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Yue Yang",
booktitle = "Twelfth International Conference on Information Optics and Photonics, CIOP 2021",
address = "United States",
}