标题
Deeply learned broadband encoding stochastic hyperspectral imaging
作者
关键词
-
出版物
Light-Science & Applications
Volume 10, Issue 1, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2021-05-25
DOI
10.1038/s41377-021-00545-2
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Deep‐Learned Broadband Encoding Stochastic Filters for Computational Spectroscopic Instruments
- (2021) Hongya Song et al. Advanced Theory and Simulations
- Phosphine gas in the cloud decks of Venus
- (2020) Jane S. Greaves et al. Nature Astronomy
- The origin of reconnection-mediated transient brightenings in the solar transition region
- (2020) Shah Mohammad Bahauddin et al. Nature Astronomy
- Single-shot on-chip spectral sensors based on photonic crystal slabs
- (2019) Zhu Wang et al. Nature Communications
- Spectral Super-Resolution with Optimized Bands
- (2019) Utsav B. Gewali et al. Remote Sensing
- Machine Learning Accelerates Discovery of Optimal Colloidal Quantum Dot Synthesis
- (2019) Oleksandr Voznyy et al. ACS Nano
- Single-nanowire spectrometers
- (2019) Zongyin Yang et al. SCIENCE
- Near-UV to mid-IR reflectance imaging spectroscopy of paintings on the macroscale
- (2019) F. Gabrieli et al. Science Advances
- A Bidirectional Deep Neural Network for Accurate Silicon Color Design
- (2019) Li Gao et al. ADVANCED MATERIALS
- Training Deep Neural Networks for the Inverse Design of Nanophotonic Structures
- (2018) Dianjing Liu et al. ACS Photonics
- Computational Snapshot Multispectral Cameras: Toward dynamic capture of the spectral world
- (2016) Xun Cao et al. IEEE SIGNAL PROCESSING MAGAZINE
- Depth-resolved mid-infrared photothermal imaging of living cells and organisms with submicrometer spatial resolution
- (2016) D. Zhang et al. Science Advances
- A colloidal quantum dot spectrometer
- (2015) Jie Bao et al. NATURE
- Review of snapshot spectral imaging technologies
- (2013) Nathan Hagen et al. OPTICAL ENGINEERING
- Filters with random transmittance for improving resolution in filter-array-based spectrometers
- (2013) J. Oliver et al. OPTICS EXPRESS
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