A Systematic Survey of Remote Sensing Image Captioning

Image captioning is a cross-disciplinary task to automatically generate textural descriptions for a given image using computer vision and natural language processing techniques. Remote sensing image captioning refers to the application of this task to remote sensing images taken from high altitude b...

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Autor principal:	Beigeng Zhao
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Image captioning remote sensing deep learning natural language processing Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/3f8fd78812f74ad6ba3939b187eb4788
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id	oai:doaj.org-article:3f8fd78812f74ad6ba3939b187eb4788
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spelling	oai:doaj.org-article:3f8fd78812f74ad6ba3939b187eb47882021-11-24T00:03:24ZA Systematic Survey of Remote Sensing Image Captioning2169-353610.1109/ACCESS.2021.3128140https://doaj.org/article/3f8fd78812f74ad6ba3939b187eb47882021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9615088/https://doaj.org/toc/2169-3536Image captioning is a cross-disciplinary task to automatically generate textural descriptions for a given image using computer vision and natural language processing techniques. Remote sensing image captioning refers to the application of this task to remote sensing images taken from high altitude by satellites, aircraft or drones. This interesting and valuable topic has only emerged in recent years and attracted considerable research attention. There has been extensive related work in the literature, with considerable results and an independent body of research, and various issues must be addressed in future work. However, to the best of our knowledge, there has been no review study in this area that can provide researchers with systematic reference information, which is the motivation of this study. To achieve this goal, 30 relevant articles were conditionally filtered and obtained for the review study. We analyzed and summarized the existing work from various perspectives, including technical solutions, data, evaluation metrics, and the experimental results of state-of-the-art methods. Based on this summary, the trends, pros and cons of the existing studies, issues to be addressed and valuable research directions in future work are discussed. The results of this paper can provide valuable reference information for researchers in related fields.Beigeng ZhaoIEEEarticleImage captioningremote sensingdeep learningnatural language processingElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 154086-154111 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Image captioning remote sensing deep learning natural language processing Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Image captioning remote sensing deep learning natural language processing Electrical engineering. Electronics. Nuclear engineering TK1-9971 Beigeng Zhao A Systematic Survey of Remote Sensing Image Captioning
description	Image captioning is a cross-disciplinary task to automatically generate textural descriptions for a given image using computer vision and natural language processing techniques. Remote sensing image captioning refers to the application of this task to remote sensing images taken from high altitude by satellites, aircraft or drones. This interesting and valuable topic has only emerged in recent years and attracted considerable research attention. There has been extensive related work in the literature, with considerable results and an independent body of research, and various issues must be addressed in future work. However, to the best of our knowledge, there has been no review study in this area that can provide researchers with systematic reference information, which is the motivation of this study. To achieve this goal, 30 relevant articles were conditionally filtered and obtained for the review study. We analyzed and summarized the existing work from various perspectives, including technical solutions, data, evaluation metrics, and the experimental results of state-of-the-art methods. Based on this summary, the trends, pros and cons of the existing studies, issues to be addressed and valuable research directions in future work are discussed. The results of this paper can provide valuable reference information for researchers in related fields.
format	article
author	Beigeng Zhao
author_facet	Beigeng Zhao
author_sort	Beigeng Zhao
title	A Systematic Survey of Remote Sensing Image Captioning
title_short	A Systematic Survey of Remote Sensing Image Captioning
title_full	A Systematic Survey of Remote Sensing Image Captioning
title_fullStr	A Systematic Survey of Remote Sensing Image Captioning
title_full_unstemmed	A Systematic Survey of Remote Sensing Image Captioning
title_sort	systematic survey of remote sensing image captioning
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/3f8fd78812f74ad6ba3939b187eb4788
work_keys_str_mv	AT beigengzhao asystematicsurveyofremotesensingimagecaptioning AT beigengzhao systematicsurveyofremotesensingimagecaptioning
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A Systematic Survey of Remote Sensing Image Captioning

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