On the value of CTIS imagery for neural-network-based classification: a simulation perspective-Reference-Cited by-同舟云学术

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On the value of CTIS imagery for neural-network-based classification: a simulation perspective

Published:2020-09-28 Issue:28 Volume:59 Page:8697
ISSN:1559-128X
Container-title:Applied Optics
language:en
Short-container-title:Appl. Opt.

Author:

Douarre Clément,Crispim-Junior Carlos F.,Gelibert Anthony,Tougne Laure,Rousseau David

Funder

Association Nationale de la Recherche et de la Technologie

Publisher

The Optical Society

Subject

Atomic and Molecular Physics, and Optics,Engineering (miscellaneous),Electrical and Electronic Engineering

Reference58 articles.

1. On the use of deep learning for computational imaging

2. Deep Learning Techniques for Inverse Problems in Imaging

3. Compressive Coded Aperture Spectral Imaging: An Introduction

4. Spectral Image Classification From Optimal Coded-Aperture Compressive Measurements

5. Direct inference on compressive measurements using convolutional neural networks;Lohit,2016

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. CTIS spectral image reconstruction technology based on slit-scanning architecture;Optics Express;2024-06-27

2. CTIS-GAN: computed tomography imaging spectrometry based on a generative adversarial network;Applied Optics;2023-03-21

3. The application of convolutional neural networks for tomographic reconstruction of hyperspectral images;Displays;2022-09

4. Recent advances in E-monitoring of plant diseases;Biosensors and Bioelectronics;2022-04

5. Computed tomography imaging spectrometry based on superiorization and guided image filtering;Optics Letters;2021-04-30

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