Deep Convolutional Network Based Machine Intelligence Model for Satellite Cloud Image Classification Article Swipe

PDF

Kalyan Kumar Jena , Sourav Kumar Bhoi , Soumya Ranjan Nayak , Ranjit Panigrahi , Akash Kumar Bhoi ·

YOU? · · 2022 · Open Access · · DOI: https://doi.org/10.26599/bdma.2021.9020017

As a huge number of satellites revolve around the earth, a great probability exists to observe and determine the change phenomena on the earth through the analysis of satellite images on a real-time basis. Therefore, classifying satellite images plays strong assistance in remote sensing communities for predicting tropical cyclones. In this article, a classification approach is proposed using Deep Convolutional Neural Network (DCNN), comprising numerous layers, which extract the features through a downsampling process for classifying satellite cloud images. DCNN is trained marvelously on cloud images with an impressive amount of prediction accuracy. Delivery time decreases for testing images, whereas prediction accuracy increases using an appropriate deep convolutional network with a huge number of training dataset instances. The satellite images are taken from the Meteorological & Oceanographic Satellite Data Archival Centre, the organization is responsible for availing satellite cloud images of India and its subcontinent. The proposed cloud image classification shows 94% prediction accuracy with the DCNN framework.

Related Topics

Convolutional Neural Network

Artificial Intelligence

Deep Learning

Geography

Engineering

Aerospace Engineering

Concepts

Convolutional neural network Cloud computing Satellite Computer science Satellite imagery Remote sensing Artificial intelligence Deep learning Earth observation Contextual image classification Pattern recognition (psychology) Image (mathematics) Geography Engineering Aerospace engineering Operating system

Metadata

Type: article
Language: en
Landing Page: https://doi.org/10.26599/bdma.2021.9020017
PDF: https://ieeexplore.ieee.org/ielx7/8254253/9962810/09962954.pdf
OA Status: diamond
Cited By: 24
References: 40
Related Works: 10
OpenAlex ID: https://openalex.org/W4310295432

All OpenAlex metadata

Raw OpenAlex JSON

OpenAlex ID: https://openalex.org/W4310295432

Canonical identifier for this work in OpenAlex
DOI: https://doi.org/10.26599/bdma.2021.9020017

Digital Object Identifier
Title: Deep Convolutional Network Based Machine Intelligence Model for Satellite Cloud Image Classification

Work title
Type: article

OpenAlex work type
Language: en

Primary language
Publication year: 2022

Year of publication
Publication date: 2022-11-24

Full publication date if available
Authors: Kalyan Kumar Jena, Sourav Kumar Bhoi, Soumya Ranjan Nayak, Ranjit Panigrahi, Akash Kumar Bhoi

List of authors in order
Landing page: https://doi.org/10.26599/bdma.2021.9020017

Publisher landing page
PDF URL: https://ieeexplore.ieee.org/ielx7/8254253/9962810/09962954.pdf

Direct link to full text PDF
Open access: Yes

Whether a free full text is available
OA status: diamond

Open access status per OpenAlex
OA URL: https://ieeexplore.ieee.org/ielx7/8254253/9962810/09962954.pdf

Direct OA link when available
Concepts: Convolutional neural network, Cloud computing, Satellite, Computer science, Satellite imagery, Remote sensing, Artificial intelligence, Deep learning, Earth observation, Contextual image classification, Pattern recognition (psychology), Image (mathematics), Geography, Engineering, Aerospace engineering, Operating system

Top concepts (fields/topics) attached by OpenAlex
Cited by: 24

Total citation count in OpenAlex
Citations by year (recent): 2025: 7, 2024: 11, 2023: 6

Per-year citation counts (last 5 years)
References (count): 40

Number of works referenced by this work
Related works (count): 10

Other works algorithmically related by OpenAlex

Full payload

id	https://openalex.org/W4310295432
doi	https://doi.org/10.26599/bdma.2021.9020017
ids.doi	https://doi.org/10.26599/bdma.2021.9020017
ids.openalex	https://openalex.org/W4310295432
fwci	2.95330914
type	article
title	Deep Convolutional Network Based Machine Intelligence Model for Satellite Cloud Image Classification
biblio.issue	1
biblio.volume	6
biblio.last_page	43
biblio.first_page	32
topics[0].id	https://openalex.org/T11483
topics[0].field.id	https://openalex.org/fields/19
topics[0].field.display_name	Earth and Planetary Sciences
topics[0].score	0.9902999997138977
topics[0].domain.id	https://openalex.org/domains/3
topics[0].domain.display_name	Physical Sciences
topics[0].subfield.id	https://openalex.org/subfields/1902
topics[0].subfield.display_name	Atmospheric Science
topics[0].display_name	Tropical and Extratropical Cyclones Research
topics[1].id	https://openalex.org/T11276
topics[1].field.id	https://openalex.org/fields/17
topics[1].field.display_name	Computer Science
topics[1].score	0.9818000197410583
topics[1].domain.id	https://openalex.org/domains/3
topics[1].domain.display_name	Physical Sciences
topics[1].subfield.id	https://openalex.org/subfields/1702
topics[1].subfield.display_name	Artificial Intelligence
topics[1].display_name	Solar Radiation and Photovoltaics
topics[2].id	https://openalex.org/T11234
topics[2].field.id	https://openalex.org/fields/19
topics[2].field.display_name	Earth and Planetary Sciences
topics[2].score	0.9815000295639038
topics[2].domain.id	https://openalex.org/domains/3
topics[2].domain.display_name	Physical Sciences
topics[2].subfield.id	https://openalex.org/subfields/1902
topics[2].subfield.display_name	Atmospheric Science
topics[2].display_name	Precipitation Measurement and Analysis
is_xpac	False
apc_list
apc_paid
concepts[0].id	https://openalex.org/C81363708
concepts[0].level	2
concepts[0].score	0.7915197014808655
concepts[0].wikidata	https://www.wikidata.org/wiki/Q17084460
concepts[0].display_name	Convolutional neural network
concepts[1].id	https://openalex.org/C79974875
concepts[1].level	2
concepts[1].score	0.7737363576889038
concepts[1].wikidata	https://www.wikidata.org/wiki/Q483639
concepts[1].display_name	Cloud computing
concepts[2].id	https://openalex.org/C19269812
concepts[2].level	2
concepts[2].score	0.6945254802703857
concepts[2].wikidata	https://www.wikidata.org/wiki/Q26540
concepts[2].display_name	Satellite
concepts[3].id	https://openalex.org/C41008148
concepts[3].level	0
concepts[3].score	0.6194838285446167
concepts[3].wikidata	https://www.wikidata.org/wiki/Q21198
concepts[3].display_name	Computer science
concepts[4].id	https://openalex.org/C2778102629
concepts[4].level	2
concepts[4].score	0.6013278961181641
concepts[4].wikidata	https://www.wikidata.org/wiki/Q725252
concepts[4].display_name	Satellite imagery
concepts[5].id	https://openalex.org/C62649853
concepts[5].level	1
concepts[5].score	0.5591543912887573
concepts[5].wikidata	https://www.wikidata.org/wiki/Q199687
concepts[5].display_name	Remote sensing
concepts[6].id	https://openalex.org/C154945302
concepts[6].level	1
concepts[6].score	0.5301476716995239
concepts[6].wikidata	https://www.wikidata.org/wiki/Q11660
concepts[6].display_name	Artificial intelligence
concepts[7].id	https://openalex.org/C108583219
concepts[7].level	2
concepts[7].score	0.5010485649108887
concepts[7].wikidata	https://www.wikidata.org/wiki/Q197536
concepts[7].display_name	Deep learning
concepts[8].id	https://openalex.org/C39399123
concepts[8].level	3
concepts[8].score	0.4515390694141388
concepts[8].wikidata	https://www.wikidata.org/wiki/Q1348989
concepts[8].display_name	Earth observation
concepts[9].id	https://openalex.org/C75294576
concepts[9].level	3
concepts[9].score	0.43858349323272705
concepts[9].wikidata	https://www.wikidata.org/wiki/Q5165192
concepts[9].display_name	Contextual image classification
concepts[10].id	https://openalex.org/C153180895
concepts[10].level	2
concepts[10].score	0.34353527426719666
concepts[10].wikidata	https://www.wikidata.org/wiki/Q7148389
concepts[10].display_name	Pattern recognition (psychology)
concepts[11].id	https://openalex.org/C115961682
concepts[11].level	2
concepts[11].score	0.25443336367607117
concepts[11].wikidata	https://www.wikidata.org/wiki/Q860623
concepts[11].display_name	Image (mathematics)
concepts[12].id	https://openalex.org/C205649164
concepts[12].level	0
concepts[12].score	0.1941136121749878
concepts[12].wikidata	https://www.wikidata.org/wiki/Q1071
concepts[12].display_name	Geography
concepts[13].id	https://openalex.org/C127413603
concepts[13].level	0
concepts[13].score	0.06703624129295349
concepts[13].wikidata	https://www.wikidata.org/wiki/Q11023
concepts[13].display_name	Engineering
concepts[14].id	https://openalex.org/C146978453
concepts[14].level	1
concepts[14].score	0.0
concepts[14].wikidata	https://www.wikidata.org/wiki/Q3798668
concepts[14].display_name	Aerospace engineering
concepts[15].id	https://openalex.org/C111919701
concepts[15].level	1
concepts[15].score	0.0
concepts[15].wikidata	https://www.wikidata.org/wiki/Q9135
concepts[15].display_name	Operating system
keywords[0].id	https://openalex.org/keywords/convolutional-neural-network
keywords[0].score	0.7915197014808655
keywords[0].display_name	Convolutional neural network
keywords[1].id	https://openalex.org/keywords/cloud-computing
keywords[1].score	0.7737363576889038
keywords[1].display_name	Cloud computing
keywords[2].id	https://openalex.org/keywords/satellite
keywords[2].score	0.6945254802703857
keywords[2].display_name	Satellite
keywords[3].id	https://openalex.org/keywords/computer-science
keywords[3].score	0.6194838285446167
keywords[3].display_name	Computer science
keywords[4].id	https://openalex.org/keywords/satellite-imagery
keywords[4].score	0.6013278961181641
keywords[4].display_name	Satellite imagery
keywords[5].id	https://openalex.org/keywords/remote-sensing
keywords[5].score	0.5591543912887573
keywords[5].display_name	Remote sensing
keywords[6].id	https://openalex.org/keywords/artificial-intelligence
keywords[6].score	0.5301476716995239
keywords[6].display_name	Artificial intelligence
keywords[7].id	https://openalex.org/keywords/deep-learning
keywords[7].score	0.5010485649108887
keywords[7].display_name	Deep learning
keywords[8].id	https://openalex.org/keywords/earth-observation
keywords[8].score	0.4515390694141388
keywords[8].display_name	Earth observation
keywords[9].id	https://openalex.org/keywords/contextual-image-classification
keywords[9].score	0.43858349323272705
keywords[9].display_name	Contextual image classification
keywords[10].id	https://openalex.org/keywords/pattern-recognition
keywords[10].score	0.34353527426719666
keywords[10].display_name	Pattern recognition (psychology)
keywords[11].id	https://openalex.org/keywords/image
keywords[11].score	0.25443336367607117
keywords[11].display_name	Image (mathematics)
keywords[12].id	https://openalex.org/keywords/geography
keywords[12].score	0.1941136121749878
keywords[12].display_name	Geography
keywords[13].id	https://openalex.org/keywords/engineering
keywords[13].score	0.06703624129295349
keywords[13].display_name	Engineering
language	en
locations[0].id	doi:10.26599/bdma.2021.9020017
locations[0].is_oa	True
locations[0].source.id	https://openalex.org/S4210209060
locations[0].source.issn	2096-0654
locations[0].source.type	journal
locations[0].source.is_oa	True
locations[0].source.issn_l	2096-0654
locations[0].source.is_core	True
locations[0].source.is_in_doaj	True
locations[0].source.display_name	Big Data Mining and Analytics
locations[0].source.host_organization	https://openalex.org/P4310311901
locations[0].source.host_organization_name	Tsinghua University Press
locations[0].source.host_organization_lineage	https://openalex.org/P4310311901
locations[0].source.host_organization_lineage_names	Tsinghua University Press
locations[0].license	cc-by
locations[0].pdf_url	https://ieeexplore.ieee.org/ielx7/8254253/9962810/09962954.pdf
locations[0].version	publishedVersion
locations[0].raw_type	journal-article
locations[0].license_id	https://openalex.org/licenses/cc-by
locations[0].is_accepted	True
locations[0].is_published	True
locations[0].raw_source_name	Big Data Mining and Analytics
locations[0].landing_page_url	https://doi.org/10.26599/bdma.2021.9020017
locations[1].id	pmh:oai:doaj.org/article:0e60497bbeda47dbae8b9797f28efbc9
locations[1].is_oa	True
locations[1].source.id	https://openalex.org/S4306401280
locations[1].source.issn
locations[1].source.type	repository
locations[1].source.is_oa	False
locations[1].source.issn_l
locations[1].source.is_core	False
locations[1].source.is_in_doaj	False
locations[1].source.display_name	DOAJ (DOAJ: Directory of Open Access Journals)
locations[1].source.host_organization
locations[1].source.host_organization_name
locations[1].license	cc-by-sa
locations[1].pdf_url
locations[1].version	submittedVersion
locations[1].raw_type	article
locations[1].license_id	https://openalex.org/licenses/cc-by-sa
locations[1].is_accepted	False
locations[1].is_published	False
locations[1].raw_source_name	Big Data Mining and Analytics, Vol 6, Iss 1, Pp 32-43 (2023)
locations[1].landing_page_url	https://doaj.org/article/0e60497bbeda47dbae8b9797f28efbc9
indexed_in	crossref, doaj
authorships[0].author.id	https://openalex.org/A5072390737
authorships[0].author.orcid	https://orcid.org/0000-0002-2476-5644
authorships[0].author.display_name	Kalyan Kumar Jena
authorships[0].countries	IN
authorships[0].affiliations[0].institution_ids	https://openalex.org/I2799452066
authorships[0].affiliations[0].raw_affiliation_string	Parala Maharaja Engineering College,Department of Computer Science and Engineering,Berhampur,India,761003
authorships[0].institutions[0].id	https://openalex.org/I2799452066
authorships[0].institutions[0].ror	https://ror.org/034pbde03
authorships[0].institutions[0].type	education
authorships[0].institutions[0].lineage	https://openalex.org/I2799452066, https://openalex.org/I33585257
authorships[0].institutions[0].country_code	IN
authorships[0].institutions[0].display_name	Maharaja Engineering College
authorships[0].author_position	first
authorships[0].raw_author_name	Kalyan Kumar Jena
authorships[0].is_corresponding	False
authorships[0].raw_affiliation_strings	Parala Maharaja Engineering College,Department of Computer Science and Engineering,Berhampur,India,761003
authorships[1].author.id	https://openalex.org/A5044453219
authorships[1].author.orcid	https://orcid.org/0000-0002-5173-3453
authorships[1].author.display_name	Sourav Kumar Bhoi
authorships[1].countries	IN
authorships[1].affiliations[0].institution_ids	https://openalex.org/I2799452066
authorships[1].affiliations[0].raw_affiliation_string	Parala Maharaja Engineering College,Department of Computer Science and Engineering,Berhampur,India,761003
authorships[1].institutions[0].id	https://openalex.org/I2799452066
authorships[1].institutions[0].ror	https://ror.org/034pbde03
authorships[1].institutions[0].type	education
authorships[1].institutions[0].lineage	https://openalex.org/I2799452066, https://openalex.org/I33585257
authorships[1].institutions[0].country_code	IN
authorships[1].institutions[0].display_name	Maharaja Engineering College
authorships[1].author_position	middle
authorships[1].raw_author_name	Sourav Kumar Bhoi
authorships[1].is_corresponding	False
authorships[1].raw_affiliation_strings	Parala Maharaja Engineering College,Department of Computer Science and Engineering,Berhampur,India,761003
authorships[2].author.id	https://openalex.org/A5090967969
authorships[2].author.orcid	https://orcid.org/0000-0002-4155-884X
authorships[2].author.display_name	Soumya Ranjan Nayak
authorships[2].affiliations[0].raw_affiliation_string	Amity School of Engineering and Technology, Amity University,Uttar Pradesh,India,201303
authorships[2].author_position	middle
authorships[2].raw_author_name	Soumya Ranjan Nayak
authorships[2].is_corresponding	False
authorships[2].raw_affiliation_strings	Amity School of Engineering and Technology, Amity University,Uttar Pradesh,India,201303
authorships[3].author.id	https://openalex.org/A5029475975
authorships[3].author.orcid	https://orcid.org/0000-0001-6728-5977
authorships[3].author.display_name	Ranjit Panigrahi
authorships[3].countries	IN
authorships[3].affiliations[0].institution_ids	https://openalex.org/I81433678
authorships[3].affiliations[0].raw_affiliation_string	Sikkim Manipal Institute of Technology, Sikkim Manipal University,Department of Computer Applications,Sikkim,India,737102
authorships[3].institutions[0].id	https://openalex.org/I81433678
authorships[3].institutions[0].ror	https://ror.org/010gckf65
authorships[3].institutions[0].type	education
authorships[3].institutions[0].lineage	https://openalex.org/I81433678
authorships[3].institutions[0].country_code	IN
authorships[3].institutions[0].display_name	Sikkim Manipal University
authorships[3].author_position	middle
authorships[3].raw_author_name	Ranjit Panigrahi
authorships[3].is_corresponding	False
authorships[3].raw_affiliation_strings	Sikkim Manipal Institute of Technology, Sikkim Manipal University,Department of Computer Applications,Sikkim,India,737102
authorships[4].author.id	https://openalex.org/A5046397615
authorships[4].author.orcid	https://orcid.org/0000-0003-2759-3224
authorships[4].author.display_name	Akash Kumar Bhoi
authorships[4].countries	IN
authorships[4].affiliations[0].institution_ids	https://openalex.org/I81433678
authorships[4].affiliations[0].raw_affiliation_string	Directorate of Research, Sikkim Manipal University,Gangtok,Sikkim,India,737102
authorships[4].institutions[0].id	https://openalex.org/I81433678
authorships[4].institutions[0].ror	https://ror.org/010gckf65
authorships[4].institutions[0].type	education
authorships[4].institutions[0].lineage	https://openalex.org/I81433678
authorships[4].institutions[0].country_code	IN
authorships[4].institutions[0].display_name	Sikkim Manipal University
authorships[4].author_position	last
authorships[4].raw_author_name	Akash Kumar Bhoi
authorships[4].is_corresponding	False
authorships[4].raw_affiliation_strings	Directorate of Research, Sikkim Manipal University,Gangtok,Sikkim,India,737102
has_content.pdf	True
has_content.grobid_xml	True
is_paratext	False
open_access.is_oa	True
open_access.oa_url	https://ieeexplore.ieee.org/ielx7/8254253/9962810/09962954.pdf
open_access.oa_status	diamond
open_access.any_repository_has_fulltext	False
created_date	2025-10-10T00:00:00
display_name	Deep Convolutional Network Based Machine Intelligence Model for Satellite Cloud Image Classification
has_fulltext	True
is_retracted	False
updated_date	2025-11-06T03:46:38.306776
primary_topic.id	https://openalex.org/T11483
primary_topic.field.id	https://openalex.org/fields/19
primary_topic.field.display_name	Earth and Planetary Sciences
primary_topic.score	0.9902999997138977
primary_topic.domain.id	https://openalex.org/domains/3
primary_topic.domain.display_name	Physical Sciences
primary_topic.subfield.id	https://openalex.org/subfields/1902
primary_topic.subfield.display_name	Atmospheric Science
primary_topic.display_name	Tropical and Extratropical Cyclones Research
related_works	https://openalex.org/W4312417841, https://openalex.org/W3193565141, https://openalex.org/W3133861977, https://openalex.org/W3167935049, https://openalex.org/W3029198973, https://openalex.org/W2952813363, https://openalex.org/W2911497689, https://openalex.org/W4360783045, https://openalex.org/W2963346891, https://openalex.org/W2770149305
cited_by_count	24
counts_by_year[0].year	2025
counts_by_year[0].cited_by_count	7
counts_by_year[1].year	2024
counts_by_year[1].cited_by_count	11
counts_by_year[2].year	2023
counts_by_year[2].cited_by_count	6
locations_count	2
best_oa_location.id	doi:10.26599/bdma.2021.9020017
best_oa_location.is_oa	True
best_oa_location.source.id	https://openalex.org/S4210209060
best_oa_location.source.issn	2096-0654
best_oa_location.source.type	journal
best_oa_location.source.is_oa	True
best_oa_location.source.issn_l	2096-0654
best_oa_location.source.is_core	True
best_oa_location.source.is_in_doaj	True
best_oa_location.source.display_name	Big Data Mining and Analytics
best_oa_location.source.host_organization	https://openalex.org/P4310311901
best_oa_location.source.host_organization_name	Tsinghua University Press
best_oa_location.source.host_organization_lineage	https://openalex.org/P4310311901
best_oa_location.source.host_organization_lineage_names	Tsinghua University Press
best_oa_location.license	cc-by
best_oa_location.pdf_url	https://ieeexplore.ieee.org/ielx7/8254253/9962810/09962954.pdf
best_oa_location.version	publishedVersion
best_oa_location.raw_type	journal-article
best_oa_location.license_id	https://openalex.org/licenses/cc-by
best_oa_location.is_accepted	True
best_oa_location.is_published	True
best_oa_location.raw_source_name	Big Data Mining and Analytics
best_oa_location.landing_page_url	https://doi.org/10.26599/bdma.2021.9020017
primary_location.id	doi:10.26599/bdma.2021.9020017
primary_location.is_oa	True
primary_location.source.id	https://openalex.org/S4210209060
primary_location.source.issn	2096-0654
primary_location.source.type	journal
primary_location.source.is_oa	True
primary_location.source.issn_l	2096-0654
primary_location.source.is_core	True
primary_location.source.is_in_doaj	True
primary_location.source.display_name	Big Data Mining and Analytics
primary_location.source.host_organization	https://openalex.org/P4310311901
primary_location.source.host_organization_name	Tsinghua University Press
primary_location.source.host_organization_lineage	https://openalex.org/P4310311901
primary_location.source.host_organization_lineage_names	Tsinghua University Press
primary_location.license	cc-by
primary_location.pdf_url	https://ieeexplore.ieee.org/ielx7/8254253/9962810/09962954.pdf
primary_location.version	publishedVersion
primary_location.raw_type	journal-article
primary_location.license_id	https://openalex.org/licenses/cc-by
primary_location.is_accepted	True
primary_location.is_published	True
primary_location.raw_source_name	Big Data Mining and Analytics
primary_location.landing_page_url	https://doi.org/10.26599/bdma.2021.9020017
publication_date	2022-11-24
publication_year	2022
referenced_works	https://openalex.org/W2144600384, https://openalex.org/W3034157079, https://openalex.org/W2132889984, https://openalex.org/W2911618850, https://openalex.org/W2931322328, https://openalex.org/W2905387508, https://openalex.org/W3003708426, https://openalex.org/W2569758175, https://openalex.org/W4206735705, https://openalex.org/W2082726419, https://openalex.org/W2021592094, https://openalex.org/W2102967934, https://openalex.org/W65019361, https://openalex.org/W2885062246, https://openalex.org/W1980986928, https://openalex.org/W2930789748, https://openalex.org/W1563697767, https://openalex.org/W2968139945, https://openalex.org/W3017315620, https://openalex.org/W2932915765, https://openalex.org/W2809381768, https://openalex.org/W2902003737, https://openalex.org/W2970455193, https://openalex.org/W2099926703, https://openalex.org/W2081038879, https://openalex.org/W2466389796, https://openalex.org/W2114102888, https://openalex.org/W3084018155, https://openalex.org/W2055586096, https://openalex.org/W2778830079, https://openalex.org/W2005120494, https://openalex.org/W2946064216, https://openalex.org/W2078770669, https://openalex.org/W2897795150, https://openalex.org/W2995394700, https://openalex.org/W3035035250, https://openalex.org/W2951045917, https://openalex.org/W2268875920, https://openalex.org/W1487097365, https://openalex.org/W1514205146
referenced_works_count	40
abstract_inverted_index.&	125
abstract_inverted_index.a	1, 10, 31, 52, 71, 110
abstract_inverted_index.As	0
abstract_inverted_index.In	49
abstract_inverted_index.an	87, 104
abstract_inverted_index.in	41
abstract_inverted_index.is	55, 80, 133
abstract_inverted_index.of	4, 27, 90, 113, 140
abstract_inverted_index.on	21, 30, 83
abstract_inverted_index.to	14
abstract_inverted_index.94%	151
abstract_inverted_index.The	117, 145
abstract_inverted_index.and	16, 142
abstract_inverted_index.are	120
abstract_inverted_index.for	45, 74, 96, 135
abstract_inverted_index.its	143
abstract_inverted_index.the	8, 18, 22, 25, 68, 123, 131, 155
abstract_inverted_index.DCNN	79, 156
abstract_inverted_index.Data	128
abstract_inverted_index.Deep	58
abstract_inverted_index.deep	106
abstract_inverted_index.from	122
abstract_inverted_index.huge	2, 111
abstract_inverted_index.this	50
abstract_inverted_index.time	94
abstract_inverted_index.with	86, 109, 154
abstract_inverted_index.India	141
abstract_inverted_index.cloud	77, 84, 138, 147
abstract_inverted_index.earth	23
abstract_inverted_index.great	11
abstract_inverted_index.image	148
abstract_inverted_index.plays	38
abstract_inverted_index.shows	150
abstract_inverted_index.taken	121
abstract_inverted_index.using	57, 103
abstract_inverted_index.which	66
abstract_inverted_index.Neural	60
abstract_inverted_index.amount	89
abstract_inverted_index.around	7
abstract_inverted_index.basis.	33
abstract_inverted_index.change	19
abstract_inverted_index.earth,	9
abstract_inverted_index.exists	13
abstract_inverted_index.images	29, 37, 85, 119, 139
abstract_inverted_index.number	3, 112
abstract_inverted_index.remote	42
abstract_inverted_index.strong	39
abstract_inverted_index.(DCNN),	62
abstract_inverted_index.Centre,	130
abstract_inverted_index.Network	61
abstract_inverted_index.dataset	115
abstract_inverted_index.extract	67
abstract_inverted_index.images,	98
abstract_inverted_index.images.	78
abstract_inverted_index.layers,	65
abstract_inverted_index.network	108
abstract_inverted_index.observe	15
abstract_inverted_index.process	73
abstract_inverted_index.revolve	6
abstract_inverted_index.sensing	43
abstract_inverted_index.testing	97
abstract_inverted_index.through	24, 70
abstract_inverted_index.trained	81
abstract_inverted_index.whereas	99
abstract_inverted_index.Archival	129
abstract_inverted_index.Delivery	93
abstract_inverted_index.accuracy	101, 153
abstract_inverted_index.analysis	26
abstract_inverted_index.approach	54
abstract_inverted_index.article,	51
abstract_inverted_index.availing	136
abstract_inverted_index.features	69
abstract_inverted_index.numerous	64
abstract_inverted_index.proposed	56, 146
abstract_inverted_index.training	114
abstract_inverted_index.tropical	47
abstract_inverted_index.Satellite	127
abstract_inverted_index.accuracy.	92
abstract_inverted_index.cyclones.	48
abstract_inverted_index.decreases	95
abstract_inverted_index.determine	17
abstract_inverted_index.increases	102
abstract_inverted_index.phenomena	20
abstract_inverted_index.real-time	32
abstract_inverted_index.satellite	28, 36, 76, 118, 137
abstract_inverted_index.Therefore,	34
abstract_inverted_index.assistance	40
abstract_inverted_index.comprising	63
abstract_inverted_index.framework.	157
abstract_inverted_index.impressive	88
abstract_inverted_index.instances.	116
abstract_inverted_index.predicting	46
abstract_inverted_index.prediction	91, 100, 152
abstract_inverted_index.satellites	5
abstract_inverted_index.appropriate	105
abstract_inverted_index.classifying	35, 75
abstract_inverted_index.communities	44
abstract_inverted_index.marvelously	82
abstract_inverted_index.probability	12
abstract_inverted_index.responsible	134
abstract_inverted_index.downsampling	72
abstract_inverted_index.organization	132
abstract_inverted_index.Convolutional	59
abstract_inverted_index.Oceanographic	126
abstract_inverted_index.convolutional	107
abstract_inverted_index.subcontinent.	144
abstract_inverted_index.Meteorological	124
abstract_inverted_index.classification	53, 149
cited_by_percentile_year.max	99
cited_by_percentile_year.min	98
countries_distinct_count	1
institutions_distinct_count	5
sustainable_development_goals[0].id	https://metadata.un.org/sdg/14
sustainable_development_goals[0].score	0.5799999833106995
sustainable_development_goals[0].display_name	Life below water
citation_normalized_percentile.value	0.92991986
citation_normalized_percentile.is_in_top_1_percent	False
citation_normalized_percentile.is_in_top_10_percent	True