A Novel Detector Based on Convolution Neural Networks for Multiscale SAR Ship Detection in Complex Background

Convolution neural network (CNN)-based detectors have shown great performance on ship detections of synthetic aperture radar (SAR) images. However, the performance of current models has not been satisfactory enough for detecting multiscale ships and small-size ones in front of complex backgrounds. T...

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Detalles Bibliográficos
Autores principales: Dai, Wenxin, Mao, Yuqing, Yuan, Rongao, Liu, Yijing, Pu, Xuemei, Li, Chuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7273208/
https://www.ncbi.nlm.nih.gov/pubmed/32365747
http://dx.doi.org/10.3390/s20092547

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7273208/
https://www.ncbi.nlm.nih.gov/pubmed/32365747
http://dx.doi.org/10.3390/s20092547

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