Towards a Framework for Noctilucent Cloud Analysis
In this paper, we present a framework to study the spatial structure of noctilucent clouds formed by ice particles in the upper atmosphere at mid and high latitudes during summer. We studied noctilucent cloud activity in optical images taken from three different locations and under different atmosph...
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ftdoajarticles:oai:doaj.org/article:e272082b7ca741d7b805f62ad3a265e8 2023-05-15T16:04:42+02:00 Towards a Framework for Noctilucent Cloud Analysis Puneet Sharma Peter Dalin Ingrid Mann 2019-11-01T00:00:00Z https://doi.org/10.3390/rs11232743 https://doaj.org/article/e272082b7ca741d7b805f62ad3a265e8 EN eng MDPI AG https://www.mdpi.com/2072-4292/11/23/2743 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs11232743 https://doaj.org/article/e272082b7ca741d7b805f62ad3a265e8 Remote Sensing, Vol 11, Iss 23, p 2743 (2019) noctilucent clouds linear discriminant analysis convolutional neural networks Science Q article 2019 ftdoajarticles https://doi.org/10.3390/rs11232743 2022-12-31T09:42:15Z In this paper, we present a framework to study the spatial structure of noctilucent clouds formed by ice particles in the upper atmosphere at mid and high latitudes during summer. We studied noctilucent cloud activity in optical images taken from three different locations and under different atmospheric conditions. In order to identify and distinguish noctilucent cloud activity from other objects in the scene, we employed linear discriminant analysis (LDA) with feature vectors ranging from simple metrics to higher-order local autocorrelation (HLAC), and histogram of oriented gradients (HOG). Finally, we propose a convolutional neural networks (CNN)-based method for the detection of noctilucent clouds. The results clearly indicate that the CNN-based approach outperforms the LDA-based methods used in this article. Furthermore, we outline suggestions for future research directions to establish a framework that can be used for synchronizing the optical observations from ground-based camera systems with echoes measured with radar systems like EISCAT in order to obtain independent additional information on the ice clouds. Article in Journal/Newspaper EISCAT Directory of Open Access Journals: DOAJ Articles Remote Sensing 11 23 2743 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
noctilucent clouds linear discriminant analysis convolutional neural networks Science Q |
spellingShingle |
noctilucent clouds linear discriminant analysis convolutional neural networks Science Q Puneet Sharma Peter Dalin Ingrid Mann Towards a Framework for Noctilucent Cloud Analysis |
topic_facet |
noctilucent clouds linear discriminant analysis convolutional neural networks Science Q |
description |
In this paper, we present a framework to study the spatial structure of noctilucent clouds formed by ice particles in the upper atmosphere at mid and high latitudes during summer. We studied noctilucent cloud activity in optical images taken from three different locations and under different atmospheric conditions. In order to identify and distinguish noctilucent cloud activity from other objects in the scene, we employed linear discriminant analysis (LDA) with feature vectors ranging from simple metrics to higher-order local autocorrelation (HLAC), and histogram of oriented gradients (HOG). Finally, we propose a convolutional neural networks (CNN)-based method for the detection of noctilucent clouds. The results clearly indicate that the CNN-based approach outperforms the LDA-based methods used in this article. Furthermore, we outline suggestions for future research directions to establish a framework that can be used for synchronizing the optical observations from ground-based camera systems with echoes measured with radar systems like EISCAT in order to obtain independent additional information on the ice clouds. |
format |
Article in Journal/Newspaper |
author |
Puneet Sharma Peter Dalin Ingrid Mann |
author_facet |
Puneet Sharma Peter Dalin Ingrid Mann |
author_sort |
Puneet Sharma |
title |
Towards a Framework for Noctilucent Cloud Analysis |
title_short |
Towards a Framework for Noctilucent Cloud Analysis |
title_full |
Towards a Framework for Noctilucent Cloud Analysis |
title_fullStr |
Towards a Framework for Noctilucent Cloud Analysis |
title_full_unstemmed |
Towards a Framework for Noctilucent Cloud Analysis |
title_sort |
towards a framework for noctilucent cloud analysis |
publisher |
MDPI AG |
publishDate |
2019 |
url |
https://doi.org/10.3390/rs11232743 https://doaj.org/article/e272082b7ca741d7b805f62ad3a265e8 |
genre |
EISCAT |
genre_facet |
EISCAT |
op_source |
Remote Sensing, Vol 11, Iss 23, p 2743 (2019) |
op_relation |
https://www.mdpi.com/2072-4292/11/23/2743 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs11232743 https://doaj.org/article/e272082b7ca741d7b805f62ad3a265e8 |
op_doi |
https://doi.org/10.3390/rs11232743 |
container_title |
Remote Sensing |
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11 |
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23 |
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2743 |
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1766400319861817344 |