Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

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

Not Accessible

Your library or personal account may give you access

Abstract

The computed tomography imaging spectrometer (CTIS) is a snapshot hyperspectral imaging system. Its output is a 2D image of multiplexed spatiospectral projections of the hyperspectral cube of the scene. Traditionally, the 3D cube is reconstructed from this image before further analysis. In this paper, we show that it is possible to learn information directly from the CTIS raw output, by training a neural network to perform binary classification on such images. The use case we study is an agricultural one, as snapshot imagery is used substantially in this field: the detection of apple scab lesions on leaves. To train the network appropriately and to study several degrees of scab infection, we simulated CTIS images of scabbed leaves. This was made possible with a novel CTIS simulator, where special care was taken to preserve realistic pixel intensities compared to true images. To the best of our knowledge, this is the first application of compressed learning on a simulated CTIS system.

© 2020 Optical Society of America

Full Article  |  PDF Article
More Like This
CTIS-GAN: computed tomography imaging spectrometry based on a generative adversarial network

Luoxiang Wu and Weiwei Cai
Appl. Opt. 62(10) 2422-2433 (2023)

Assessment of a computed tomography imaging spectrometer using an optimized expectation-maximization algorithm

F. Narea-Jiménez, J. Castro-Ramos, J. J. Sánchez-Escobar, and A. Muñoz-Morales
Appl. Opt. 61(20) 6076-6085 (2022)

Single-shot hyperspectral imaging based on dual attention neural network with multi-modal learning

Tianyue He, Qican Zhang, Mingwei Zhou, Tingdong Kou, and Junfei Shen
Opt. Express 30(6) 9790-9813 (2022)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (21)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Tables (3)

You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (1)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved