IEEE

Hyperspectral Image Classification using Few Shot Domain Adaptation and Active Learning

Abstract: Hyperspectral images (HSIs) are pivotal in remote sensing, providing rich spectral and spatial information for applications such as agriculture, environmental monitoring, and mineral ...
IEEE

Gender Classification From Pashto Handwritten Text Images

Abstract: Computer vision (CV) is a subfield of computer science that enables machines to perceive, interpret, and understand visual data. It combines image processing, analysis, and machine learning ...
IEEE

Multiscale Segmentation-Guided Fusion Network for Hyperspectral Image Classification

Abstract: Convolution Neural Networks (CNNs) have demonstrated strong feature extraction capabilities in Euclidean spaces, achieving remarkable success in hyperspectral image (HSI) classification ...
IEEE

WTC-HST: Wavelet Transform Convolutions and Hierarchical Spatial Transformers for Polarimetric SAR Image Classification

Abstract: Polarimetric synthetic aperture radar (PolSAR) image classification is an important task in remote sensing. However, due to its complex scattering mechanism and high-dimensional features, ...
IEEE

Superpixel-Integrated Dual-Stage Mamba for Hyperspectral Image Classification

Abstract: Hyperspectral image (HSI) classification plays a key role in remote sensing applications such as land cover mapping and environmental monitoring. Mamba is a state-space-based model that has ...
IEEE

An SAGPSO-CNN Approach for Supervised Fault Classification in MVdc Shipboard Power Systems

Abstract: All-electric ships (AESs) utilizing medium-voltage dc (MVdc) shipboard power systems (SPSs) rely on a limited number of generators to supply power to propulsion units and onboard loads. To ...
CNN

Ghostly shot of hyena wins Wildlife Photographer of the Year award

An image of a rare hyena standing in front of an abandoned building in a former diamond mining town in Namibia has won the Wildlife Photographer of the Year 2025 award. Shot by South African ...
IEEE

A CNN-Transformer Approach for Image-Text Multimodal Classification with Cross-Modal Feature Fusion

Abstract: This study proposes an image-text multimodal classification algorithm based on a combination of convolutional neural networks (CNN) and Transformer, aiming to solve the key problems in ...
IEEE

Hybrid DL Classification Model Based on CNN and Transformer for Pap Smear Cells

Abstract: Cervical cancer is a leading cause of cancer-related deaths among women, with early detection via Pap smear screening significantly reducing mortality. However, traditional analysis is ...
IEEE

Semi-Supervised Medical Image Classification with Neighborhood Adaptive Attention

Abstract: Semi-supervised learning utilize unlabeled data to improve model performance, which is of great significance in medical imaging tasks. However, due to the high inter class similarity and ...
IEEE

HZSCM: Hyperspectral Image Zero-Shot Classification via Vision-Language Models

Abstract: Most hyperspectral image (HSI) classification methods assume that all classes in the test set are present during training. However, in real-world applications, acquiring labeled training ...
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 ...