Cargando…
A New Deep Learning Based Multi-Spectral Image Fusion Method
In this paper, we present a new effective infrared (IR) and visible (VIS) image fusion method by using a deep neural network. In our method, a Siamese convolutional neural network (CNN) is applied to automatically generate a weight map which represents the saliency of each pixel for a pair of source...
Autores principales: | Piao, Jingchun, Chen, Yunfan, Shin, Hyunchul |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515058/ https://www.ncbi.nlm.nih.gov/pubmed/33267284 http://dx.doi.org/10.3390/e21060570 |
Ejemplares similares
-
A Vaginitis Classification Method Based on Multi-Spectral Image Feature Fusion
por: Zhao, Kongya, et al.
Publicado: (2022) -
Food Tray Sealing Fault Detection in Multi-Spectral Images Using Data Fusion and Deep Learning Techniques
por: Benouis, Mohamed, et al.
Publicado: (2021) -
Spectral imaging with deep learning
por: Huang, Longqian, et al.
Publicado: (2022) -
Contactless blood oxygen estimation from face videos: A multi-model fusion method based on deep learning
por: Hu, Min, et al.
Publicado: (2023) -
Multi-Modal Fusion Emotion Recognition Method of Speech Expression Based on Deep Learning
por: Liu, Dong, et al.
Publicado: (2021)