Automatic Ship Detection Based on RetinaNet Using Multi-Resolution Gaofen-3 Imagery

Independent of daylight and weather conditions, synthetic aperture radar (SAR) imagery is widely applied to detect ships in marine surveillance. The shapes of ships are multi-scale in SAR imagery due to multi-resolution imaging modes and their various shapes. Conventional ship detection methods are...

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Vydané v:	Remote sensing (Basel, Switzerland) Ročník 11; číslo 5; s. 531
Hlavní autori:	Wang, Yuanyuan, Wang, Chao, Zhang, Hong, Dong, Yingbo, Wei, Sisi
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.03.2019
Predmet:	Accuracy Clutter Datasets Deep learning False alarms Feature extraction feature pyramid networks focal loss Gaofen-3 imagery Image detection International conferences Machine learning Mathematical models Methods Neural networks Pattern recognition Radar imaging Remote sensing Robustness Satellite constellations Satellite imagery Satellite observation Satellites Sensors Shape recognition ship detection Ships Small satellites Statistical analysis Statistical models Surveillance radar Synthetic aperture radar Weather Beijing China United States > US China Mediterranean Area
ISSN:	2072-4292, 2072-4292
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