Optical remote sensing image caption research progress

Dongdong Bu; Zhuli Xie; Gang Wan

doi:10.1117/12.3035524

19 July 2024 Optical remote sensing image caption research progress

Dongdong Bu, Zhuli Xie, Gang Wan

Proceedings Volume 13213, International Conference on Image Processing and Artificial Intelligence (ICIPAl 2024); 132130O (2024) https://doi.org/10.1117/12.3035524
Event: International Conference on Image Processing and Artificial Intelligence (ICIPAl2024), 2024, Suzhou, China

Abstract

Artificial intelligence technologies represented by deep learning have been widely applied in remote sensing image interpretation. RSIC is an essential part of remote sensing image interpretation and one of the research hotspots in the field. RSIC involves multimodal data processing such as text and images, and can be widely applied in multiple professional fields such as remote sensing image retrieval, scene understanding and classification, intelligence analysis and rapid generation. Based on this, this article summarizes the research progress of RSIC, reviews the research progress of RSIC, and first introduces the background of RSIC. Secondly, an in-depth analysis of commonly used methods for RSIC is conducted, with a focus on four aspects: RSIC methods, comparison of method experimental results, image caption datasets, and evaluation indicators. Finally, a capability analysis of RSIC methods will be conducted, and current research achievements will be further summarized, with prospects for future directions and challenges in this field.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Dongdong Bu, Zhuli Xie, and Gang Wan "Optical remote sensing image caption research progress", Proc. SPIE 13213, International Conference on Image Processing and Artificial Intelligence (ICIPAl 2024), 132130O (19 July 2024); https://doi.org/10.1117/12.3035524

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KEYWORDS

Remote sensing

Visualization

Semantics

Transformers

Feature extraction

Image processing

Image fusion

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