IEEE

Cross-Domain Hyperspectral Image Classification via Mamba–CNN and Knowledge Distillation

Abstract: Domain adaptation (DA)-based cross-domain hyperspectral image (HSI) classification methods have garnered significant attention. The majority of DA techniques utilize models based on ...
IEEE

Image Classification using Quantum Convolutional Neural Network (QCNN)

Abstract: Convolutional Neural Networks (CNNs) are extensively utilized for image classification due to their ability to exploit data correlations effectively. However, traditional CNNs encounter ...
IEEE

Co-Evolutionary Dual-Tree Genetic Programming for Fine-Grained Flower Image Classification

Abstract: Fine-grained flower image classification (FGFIC) is challenging due to high similarities among species and variations within species, especially with limited training data. Existing genetic ...
IEEE

A Lightweight Spatial–Spectral Deformable CNN for UAV Hyperspectral Image Classification

Abstract: In recent years, uncrewed aerial vehicle (UAV) technology has shown great potential for application in hyperspectral image (HSI) classification tasks due to its advantages of flexible ...
IEEE

A Review on Hyper Spectral Image Classification using CNN and Deep Learning Techniques

Abstract: Hyperspectral Imaging (HSI) has undeniably transformed various real-world applications by capturing intricate spectral information at every pixel. Nevertheless, the nonlinear relationships ...
IEEE

Synergistic Deep Learning Pipeline for Dermatological Image Classification: Cascaded U-Net Denoising and Feature-Selective CNN with Fused Feature Extraction

Abstract: The utilization of skin disease images in diagnosis is increasingly necessitating high-quality visuals to ensure precise identification and treatment. Nevertheless, the presence of noise in ...