The foundation model (FM) has garnered significant attention for its remarkable transfer
performance in downstream tasks. Typically, it undergoes task-agnostic pretraining on a …

Analyzing land cover changes with multitemporal remote sensing (RS) images is crucial for
environmental protection and land planning. In this article, we explore RS image change …

In this paper, we delve into the innovative application of large language models (LLMs) and
their extension, large vision-language models (LVLMs), in the field of remote sensing (RS) …

Remote sensing image change captioning (RSICC) is a novel task that aims to describe the
differences between bitemporal images by natural language. Previous methods ignore a …

The emerging field of vision–language models, which combines computer vision and natural
language processing (NLP), has gained significant interest and exploration. This integration …

Recent progress has shown that integrating multiscale visual features with advanced
Transformer architectures is a promising approach for remote sensing image captioning …

Remote sensing image captioning (RSIC) aims to describe the crucial objects from remote
sensing images in the form of natural language. The inefficient utilization of object texture …

Remote sensing image (RSI) captioning aims to generate meaningful and grammatically
accurate sentences for RSIs. However, in comparison to natural image captioning, RSI …

Feature extraction is fundamental for successful remote sensing image captioning (RSIC).
The representation forms of grid features and region features differ significantly. Grid …

Remote sensing image captioning (RSIC), an emerging field of cross-modal tasks, has
become a popular research topic in recent years. Feature extraction underlies all RSIC …