RS-FeatFuseNet: An Integrated Remote Sensing Object Detection Model with Enhanced Feature Extraction
With the advancement of satellite and sensor technologies, remote sensing images are playing crucial roles in both civilian and military domains. This paper addresses challenges such as complex backgrounds and scale variations in remote sensing images by proposing a novel attention mechanism called...
Saved in:
Main Authors: | Yijuan Qiu, Jiefeng Xue, Gang Zhang, Xuying Hao, Tao Lei, Ping Jiang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-12-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/17/1/61 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
SCM-YOLO for Lightweight Small Object Detection in Remote Sensing Images
by: Hao Qiang, et al.
Published: (2025-01-01) -
FTA-Net: Frequency-Temporal-Aware Network for Remote Sensing Change Detection
by: Taojun Zhu, et al.
Published: (2025-01-01) -
Cross Teaching-Enhanced Multispectral Remote Sensing Object Detection With Transformer
by: Jiahe Zhu, et al.
Published: (2025-01-01) -
A Novel Remote Sensing Recognition Using Modified GMM Segmentation and DenseNet
by: Muhammad Waqas Ahmed, et al.
Published: (2025-01-01) -
Remote sensing image Super-resolution reconstruction by fusing multi-scale receptive fields and hybrid transformer
by: Denghui Liu, et al.
Published: (2025-01-01)