KE-RSIC: Remote Sensing Image Captioning Based on Knowledge Embedding
Current remote sensing image captioning methods often struggle to provide accurate and comprehensive descriptions due to their reliance on networks designed for natural images. Due to limited domain-specific knowledge in remote sensing, these networks often fail to accurately reflect the intrinsic s...
Saved in:
Main Authors: | Kangda Cheng, Erik Cambria, Jinlong Liu, Yushi Chen, Zhilu Wu |
---|---|
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/10818406/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Undergraduate students’ perceptions toward writing Instagram captions in English
by: Nahda Nafisah Hutasuhut, et al.
Published: (2024-05-01) -
Combining Region-Guided Attention and Attribute Prediction for Thangka Image Captioning Method
by: Fujun Zhang, et al.
Published: (2025-01-01) -
Principles of remote sensing : An introductory textbook /
by: Bakker WIm H ...[et al.]
Published: (2000) -
Few-shot Remote Sensing Imagery Recognition with Compositionality Inductive Bias in Hierarchical Representation Space
by: Shichao Zhou, et al.
Published: (2025-01-01) -
A Brief Review of Network Embedding
by: Yaojing Wang, et al.
Published: (2019-03-01)