Cargando…
Tone Image Classification and Weighted Learning for Visible and NIR Image Fusion
In this paper, to improve the slow processing speed of the rule-based visible and NIR (near-infrared) image synthesis method, we present a fast image fusion method using DenseFuse, one of the CNN (convolutional neural network)-based image synthesis methods. The proposed method applies a raster scan...
Autores principales: | Im, Chan-Gi, Son, Dong-Min, Kwon, Hyuk-Ju, Lee, Sung-Hak |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9601651/ https://www.ncbi.nlm.nih.gov/pubmed/37420457 http://dx.doi.org/10.3390/e24101435 |
Ejemplares similares
-
Rainwater-Removal Image Conversion Learning with Training Pair Augmentation
por: Han, Yu-Keun, et al.
Publicado: (2023) -
Deep Visible and Thermal Image Fusion for Enhanced Pedestrian Visibility
por: Shopovska, Ivana, et al.
Publicado: (2019) -
Fusion of visible and thermal images improves automated detection and classification of animals for drone surveys
por: Krishnan, B. Santhana, et al.
Publicado: (2023) -
Mammographic image classification with deep fusion learning
por: Yu, Xiangchun, et al.
Publicado: (2020) -
Visible-NIR hyperspectral classification of grass based on multivariate smooth mapping and extreme active learning approach
por: Zhao, Xuanhe, et al.
Publicado: (2022)