Enhancing Ship Classification in Optical Satellite Imagery: Integrating Convolutional Block Attention Module with ResNet for Improved Performance

In this study, we present an advanced convolutional neural network (CNN) architecture for ship classification based on optical satellite imagery, which significantly enhances performance through the integration of a convolutional block attention module (CBAM) and additional architectural innovations...

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Bibliographische Detailangaben

Hauptverfasser:	Kwon, Ryan Donghan, Nam, Gangjoo Robin, Tak, Jisoo, Shin, Junseob, Cha, Hyerin, Lee, Seung Won
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition
Online-Zugang:	Volltext bestellen
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