IEEE Geoscience and Remote Sensing Magazine - December 2023 - 63
Language Integration
in Remote Sensing
Tasks, datasets, and future directions
LAILA BASHMAL, YAKOUB BAZI , FARID MELGANI ,
MOHAMAD M. AL RAHHAL , AND
MANSOUR ABDULAZIZ AL ZUAIR
T
he emerging field of vision-language models, which
combines computer vision and natural language processing
(NLP), has gained significant interest and exploration.
This integration has opened up new research opportunities,
particularly in remote sensing (RS), where it has the potential
to enhance RS systems' capabilities. In this context, this
article presents a comprehensive review of more than 100
Digital Object Identifier 10.1109/MGRS.2023.3316438
Date of current version: 11 October 2023
DECEMBER 2023 IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE
articles focusing on the integration of NLP techniques into
RS understanding research. The review covers various vision-language
modeling tasks, including but not limited
to RS image captioning, RS text-to-image retrieval, RS visual
question answering (VQA), and RS image generation.
For each task, the review provides a summary of the stateof-the-art
developments, including methods, evaluation
metrics, datasets, and experimental results on benchmark
datasets. The review is concluded by discussing the key
challenges and highlighting potential research directions
2473-2397/23©2023IEEE
63
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IEEE Geoscience and Remote Sensing Magazine - December 2023
Table of Contents for the Digital Edition of IEEE Geoscience and Remote Sensing Magazine - December 2023
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