Semantic–Spatial Feature Fusion With Dynamic Graph Refinement for Remote Sensing Image Captioning
Remote sensing image captioning aims to generate semantically accurate descriptions that are closely linked to the visual features of remote sensing images. Existing approaches typically emphasize fine-grained extraction of visual features and capturing global information. However, they often overlo...
Saved in:
| Main Authors: | Maofu Liu, Jiahui Liu, Xiaokang Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11039674/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Image Captioning Based on Semantic Scenes
by: Fengzhi Zhao, et al.
Published: (2024-10-01) -
Feature refinement and rethinking attention for remote sensing image captioning
by: Yunpeng Li, et al.
Published: (2025-03-01) -
Remote Sensing Image Change Captioning Using Multi-Attentive Network with Diffusion Model
by: Yue Yang, et al.
Published: (2024-11-01) -
Integrating visual memory for image captioning
by: Jiahui Wei, et al.
Published: (2025-05-01) -
Dual-Stream Spatially Aware Transformer for Remote Sensing Image Captioning
by: Haifeng Sima, et al.
Published: (2025-01-01)