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

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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Bibliographic Details
Main Authors: Wenxin Dai, Yuqing Mao, Rongao Yuan, Yijing Liu, Xuemei Pu, Chuan Li
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Sensors
Subjects:
convolutional neural network (CNN)
ship detection
synthetic aperture radar (SAR)
multiscale and small ship detection
complex background
Online Access:https://www.mdpi.com/1424-8220/20/9/2547

Internet

https://www.mdpi.com/1424-8220/20/9/2547

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