Synthetic Aperture Radar Target Recognition with Feature Fusion Based on a Stacked Autoencoder

Feature extraction is a crucial step for any automatic target recognition process, especially in the interpretation of synthetic aperture radar (SAR) imagery. In order to obtain distinctive features, this paper proposes a feature fusion algorithm for SAR target recognition based on a stacked autoenc...

Descripción completa

Detalles Bibliográficos
Autores principales: Kang, Miao, Ji, Kefeng, Leng, Xiangguang, Xing, Xiangwei, Zou, Huanxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5298765/
https://www.ncbi.nlm.nih.gov/pubmed/28117689
http://dx.doi.org/10.3390/s17010192

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5298765/
https://www.ncbi.nlm.nih.gov/pubmed/28117689
http://dx.doi.org/10.3390/s17010192

Ejemplares similares