A Min-Pooling Detection Method for Ship Targets in Noisy SAR Images

As the application of deep learning in general optical images becomes more and more widespread, the field of remote sensing images also begins to pay attention to the application of deep learning methods. Although deep learning detection algorithms have achieved better results than traditional detec...

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Veröffentlicht in:	IEEE access 2023-01, Vol.11, p.1-1
Hauptverfasser:	Li, Xiangwen, Zhou, Ling, Wu, Haoyu, Yang, Bin, Zhang, Wenjing, Gu, Jiewen, Gan, Yinlu
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Datasets Deep learning Feature extraction Image detection Machine learning Marine vehicles min-pooling neural networks Noise measurement Object detection Object recognition Radar polarimetry Redundancy Remote sensing Sea surface ship detection Synthetic aperture radar Target detection
Online-Zugang:	Volltext
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