Cargando…
A Maximum-Information-Minimum-Redundancy-Based Feature Fusion Framework for Ship Classification in Moderate-Resolution SAR Image
High-resolution synthetic aperture radar (SAR) images are mostly used in the current field of ship classification, but in practical applications, moderate-resolution SAR images that can offer wider swath are more suitable for maritime surveillance. The ship targets in moderate-resolution SAR images...
Autores principales: | Zhou, Gaoyu, Zhang, Gong, Xue, Biao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7828320/ https://www.ncbi.nlm.nih.gov/pubmed/33450913 http://dx.doi.org/10.3390/s21020519 |
Ejemplares similares
-
Maximum Relevance Minimum Redundancy Dropout with Informative Kernel Determinantal Point Process
por: Saffari, Mohsen, et al.
Publicado: (2021) -
Minimum redundancy maximum relevance feature selection approach for temporal gene expression data
por: Radovic, Milos, et al.
Publicado: (2017) -
Kernel Partial Least Squares Feature Selection Based on Maximum Weight Minimum Redundancy
por: Liu, Xiling, et al.
Publicado: (2023) -
A Feature Selection Algorithm Integrating Maximum Classification Information and Minimum Interaction Feature Dependency Information
por: Zhang, Li
Publicado: (2021) -
PREAL: prediction of allergenic protein by maximum Relevance Minimum Redundancy (mRMR) feature selection
por: Wang, Jing, et al.
Publicado: (2013)