Optical remote sensing image caption research progress

Bu Dongdong, Zhuli Xie, Gang Wan · 2024

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.

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