Hyperspectral image (HSI) classification has been extensively studied in the context of Earth observation. However, its application in Mars exploration remains limited. Although convolutional neural ...

This project explores landmark image classification using two distinct deep learning approaches in PyTorch. It covers the full lifecycle from data preparation and model training (custom CNN and ...

The work in this project helps in improving the classification of skin diseases using the combination of Generative Adversarial Networks (GANs) and Convolutional Neural Networks (CNNs). GANs were used ...

High-resolution remote sensing image (HRSI) scene classification often faces challenges; for example, the intraclass similarity is low, but the interclass similarity is high due to complex backgrounds ...

To fully exploit the physical information embedded in auroral images, this paper proposes a multi-label auroral classification method, termed MLAC, which integrates convolutional neural network (CNN) ...

Document image classification has a significant difficulty for the retrieval of digital documents and systems management in recent years. The main goal of this study is to investigate the ...