Static Early Fusion Techniques for Visible and Thermal Images to Enhance Convolutional Neural Network Detection: A Performance Analysis
This paper presents a comparison of different image fusion methods for matching visible-spectrum images with thermal-spectrum (far-infrared) images, aimed at enhancing person detection using convolutional neural networks (CNNs). While object detection with RGB images is a well-developed area, it is...
Saved in:
| Main Authors: | Enrique Heredia-Aguado, Juan José Cabrera, Luis Miguel Jiménez, David Valiente, Arturo Gil |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/17/6/1060 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
FCSwinU: Fourier Convolutions and Swin Transformer UNet for Hyperspectral and Multispectral Image Fusion
by: Rumei Li, et al.
Published: (2024-10-01) -
Pansharpening Techniques: Optimizing the Loss Function for Convolutional Neural Networks
by: Rocco Restaino
Published: (2024-12-01) -
Infrared and visible image fusion network based on multistage progressive injection
by: Kaixuan Chang, et al.
Published: (2025-07-01) -
TBRAFusion: Infrared and visible image fusion based on two-branch residual attention Transformer
by: Wangwei Zhang, et al.
Published: (2025-01-01) -
KANDiff: Kolmogorov–Arnold Network and Diffusion Model-Based Network for Hyperspectral and Multispectral Image Fusion
by: Wei Li, et al.
Published: (2025-01-01)