A Multi-Scale U-Shaped Convolution Auto-Encoder Based on Pyramid Pooling Module for Object Recognition in Synthetic Aperture Radar Images

Although unsupervised representation learning (RL) can tackle the performance deterioration caused by limited labeled data in synthetic aperture radar (SAR) object classification, the neglected discriminative detailed information and the ignored distinctive characteristics of SAR images can lead to...

Descripción completa

Detalles Bibliográficos
Autores principales: Tian, Sirui, Lin, Yiyu, Gao, Wenyun, Zhang, Hong, Wang, Chao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085543/
https://www.ncbi.nlm.nih.gov/pubmed/32164293
http://dx.doi.org/10.3390/s20051533

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085543/
https://www.ncbi.nlm.nih.gov/pubmed/32164293
http://dx.doi.org/10.3390/s20051533

Ejemplares similares