Deep Learning Classification of Empty and Full Container Ships in Satellite Imagery
Serif Ali Sadik
Abstract:This chapter presents a novel approach to ship classification in optical remote sensing (ORS) imagery, focusing on the distinction between empty and full container ships. Leveraging deep cognitive modeling techniques, the study employs renowned pre-trained deep learning models, including VGG-16, VGG-19, and InceptionV3, with fine-tuning for enhanced performance. The investigation addresses the challenges posed by class imbalance through strategic data augmentation. Results demonstrate the efficacy of the propo… Show more
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