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

no code implementations • 2 Apr 2024 • Ryan Donghan Kwon, Gangjoo Robin Nam, Jisoo Tak, Junseob Shin, Hyerin Cha, Yeom Hyeok, Seung Won Lee

This study presents an advanced Convolutional Neural Network (CNN) architecture for ship classification from optical satellite imagery, significantly enhancing performance through the integration of the Convolutional Block Attention Module (CBAM) and additional architectural innovations.

Classification Management +2