Remote Sensing Image Change Captioning Using Multi-Attentive Network with Diffusion Model
Remote sensing image change captioning (RSICC) has received considerable research interest due to its ability of automatically providing meaningful sentences describing the changes in remote sensing (RS) images. Existing RSICC methods mainly utilize pre-trained networks on natural image datasets to...
Saved in:
| Main Authors: | Yue Yang, Tie Liu, Ying Pu, Liangchen Liu, Qijun Zhao, Qun Wan |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/16/21/4083 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Contrastive learning based remote sensing text-to-image generation for few-shot remote sensing image captioning
by: Haonan Zhou, et al.
Published: (2025-08-01) -
Dual-Stream Spatially Aware Transformer for Remote Sensing Image Captioning
by: Haifeng Sima, et al.
Published: (2025-01-01) -
Feature refinement and rethinking attention for remote sensing image captioning
by: Yunpeng Li, et al.
Published: (2025-03-01) -
HI4HC and AAAAD: Exploring a hierarchical method and dataset using hybrid intelligence for remote sensing scene captioning
by: Jiaxin Ren, et al.
Published: (2025-05-01) -
Cross-Temporal Remote Sensing Image Change Captioning: A Manifold Mapping and Bayesian Diffusion Approach for Land Use Monitoring
by: Qingshan Bai, et al.
Published: (2025-01-01)