Cargando…
Multifeature Fusion Neural Network for Oceanic Phenomena Detection in SAR Images
Oceanic phenomena detection in synthetic aperture radar (SAR) images is important in the fields of fishery, military, and oceanography. The traditional detection methods of oceanic phenomena in SAR images are based on handcrafted features and detection thresholds, which have a problem of poor genera...
Autores principales: | Yan, Zhuofan, Chong, Jinsong, Zhao, Yawei, Sun, Kai, Wang, Yuhang, Li, Yan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6982761/ https://www.ncbi.nlm.nih.gov/pubmed/31905963 http://dx.doi.org/10.3390/s20010210 |
Ejemplares similares
-
A Multifeature Learning and Fusion Network for Facial Age Estimation
por: Deng, Yulan, et al.
Publicado: (2021) -
Automatic Microaneurysms Detection Based on Multifeature Fusion Dictionary Learning
por: Zhou, Wei, et al.
Publicado: (2017) -
Prediction and Estimation of River Velocity Based on GAN and Multifeature Fusion
por: Wang, Yan, et al.
Publicado: (2022) -
Research on Video Captioning Based on Multifeature Fusion
por: Zhao, Hong, et al.
Publicado: (2022) -
Simulation and Analysis of SAR Images of Oceanic Shear-Wave-Generated Eddies
por: Wang, Yuhang, et al.
Publicado: (2019)