Ship Classification in High-Resolution SAR Images Using Deep Learning of Small Datasets

With the capability to automatically learn discriminative features, deep learning has experienced great success in natural images but has rarely been explored for ship classification in high-resolution SAR images due to the training bottleneck caused by the small datasets. In this paper, convolution...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 18; H. 9; S. 2929
Hauptverfasser:	Wang, Yuanyuan, Wang, Chao, Zhang, Hong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 03.09.2018 MDPI
Schlagworte:	Algorithms Classification convolutional neural networks Datasets fine tuning high-resolution SAR images Methods Neural networks Pattern recognition Remote sensing Researchers ship classification small datasets Training transfer learning Beijing China United States > US China Germany ship classification fine tuning transfer learning convolutional neural networks high-resolution SAR images small datasets
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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