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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Autori principali:	Wenxin Dai, Yuqing Mao, Rongao Yuan, Yijing Liu, Xuemei Pu, Chuan Li
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2020-04-01
Serie:	Sensors
Soggetti:	convolutional neural network (CNN) ship detection synthetic aperture radar (SAR) multiscale and small ship detection complex background
Accesso online:	https://www.mdpi.com/1424-8220/20/9/2547
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