IEEE

MHS-Mamba: A Multihierarchical Semantic Model for UAV Hyperspectral Image Classification

Abstract: Hyperspectral image (HSI) captured by uncrewed aerial vehicles (UAVs) is distinguished by superior spatial resolution and intricate spectral detail, with widespread applications in precise ...
IEEE

LCTNet: Lightweight Convolution-Transformer Network for Hyperspectral Image Classification

Abstract: Deep learning models, especially hybrid models combining convolutional neural networks (CNN) and Transformer, introduce new ideas for hyperspectral image (HSI) classification. However, the ...
CNN

NASA releases stunning first images of Earth taken by the Artemis II astronauts

NASA released the very first images taken by astronauts aboard the Artemis II Orion capsule as they are making their way to the moon. The stunning pictures were taken by mission commander Reid Wiseman ...
IEEE

Uncertainty-Aware Local Bayesian Framework for Hyperspectral Image Classification With Noisy Labels

Abstract: Various deep learning-based methods have greatly improved hyperspectral image (HSI) classification performance, but these models are sensitive to noisy training labels. Human annotation on ...
IEEE

CNNGP: Multi-tree Genetic Programming Integrating Pre-trained CNN Features for Fine-Grained Image Classification

Abstract: Fine-grained image classification (FGIC) remains a challenging task due to subtle inter-class differences and significant intra-class variations, particularly under limited training data.
IEEE

Deep Learning Approaches for Multi-Label Classification of Ophthalmic Diseases: A Systematic Review and Future Directions using Retinal Images

Abstract: Ophthalmic diseases are a major contributor of blindness and visual impairment globally. Effective treatment and halting the progression of the disease depend on an early and precise ...
IEEE

Bridging CNN and Transformer With Cross-Attention Fusion Network for Hyperspectral Image Classification

Abstract: Feature representation is crucial for hyperspectral image (HSI) classification. However, existing convolutional neural network (CNN)-based methods are limited by the convolution kernel and ...
IEEE

UAV Image Classification: A Comparative Evaluation of CNN Models

Abstract: Aerial image classification plays a vital role in applications such as building footprint extraction, water/soil analysis, 3D reconstruction. Accurate classification enables timely ...