Cargando…
A Noisy SAR Image Fusion Method Based on NLM and GAN
The unavoidable noise often present in synthetic aperture radar (SAR) images, such as speckle noise, negatively impacts the subsequent processing of SAR images. Further, it is not easy to find an appropriate application for SAR images, given that the human visual system is sensitive to color and SAR...
Autores principales: | Fang, Jing, Ma, Xiaole, Wang, Jingjing, Qin, Kai, Hu, Shaohai, Zhao, Yuefeng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8067251/ https://www.ncbi.nlm.nih.gov/pubmed/33808436 http://dx.doi.org/10.3390/e23040410 |
Ejemplares similares
-
A Boosting SAR Image Despeckling Method Based on Non-Local Weighted Group Low-Rank Representation
por: Fang, Jing, et al.
Publicado: (2018) -
Multi-Focus Image Fusion Based on Multi-Scale Generative Adversarial Network
por: Ma, Xiaole, et al.
Publicado: (2022) -
NLM’s library network: A force for outreach
por: Shipman, Jean P., et al.
Publicado: (2022) -
History matters: in the past, present & future of the NLM
por: Reznick, Jeffrey S., et al.
Publicado: (2021) -
NLM’s sponsorship of research in biomedical informatics (1985–2016)
por: Kuo, Tsung-Ting, et al.
Publicado: (2022)