A Systematic Survey of Remote Sensing Image Captioning

التفاصيل البيبلوغرافية
العنوان: A Systematic Survey of Remote Sensing Image Captioning
المؤلفون: Beigeng Zhao
المصدر: IEEE Access, Vol 9, Pp 154086-154111 (2021)
بيانات النشر: Institute of Electrical and Electronics Engineers (IEEE), 2021.
سنة النشر: 2021
مصطلحات موضوعية: Closed captioning, General Computer Science, Systematic survey, Computer science, General Engineering, deep learning, TK1-9971, remote sensing, Remote sensing (archaeology), General Materials Science, Image captioning, Electrical engineering. Electronics. Nuclear engineering, natural language processing, Remote sensing
الوصف: 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.
تدمد: 2169-3536
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0057dfc993fe9fbdd91900cf0f27053bTest
https://doi.org/10.1109/access.2021.3128140Test
حقوق: OPEN
رقم الانضمام: edsair.doi.dedup.....0057dfc993fe9fbdd91900cf0f27053b
قاعدة البيانات: OpenAIRE