IEEE

CTNet: Multimodal Remote Sensing Image Keypoint Detection and Description for CNN and Transformer Architectures

Abstract: Keypoint detection and description from multisensor or multimodal images are fundamental to image registration and its downstream tasks. However, nonlinear radiometric differences, ...
IEEE

3D CT Liver Images Lesion Extraction and Classification for Using 3D-CNN with GLRLM

Abstract: The imaging technique known as computed tomography (CT) is often considered to be the most reliable way for non-invasive diagnosis. Through the use of three-dimensional (3D) computed ...
IEEE

Image Enhancement using GAN-based Augmentation in CNN Models for Classification Dyslexia Severity

Abstract: Dyslexia, a complex neurodevelopmental disorder, poses formidable challenges to individuals in acquiring proficient reading skills despite adequate instruction and cognitive abilities, with ...
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, ...
Variety

‘Pete Hegseth Has United the Media!’ Only One Outlet Has Agreed to Pentagon’s New Press Rules as Fox News, CNN and More Refuse to Comply

Pete Hegseth‘s Defense Department has threatened to revoke press credentials of news organization that do not agree to restrictive new coverage rules — and says it may bar journalists who don’t agree ...
IEEE

Research on Image Classification Based on CNN-Transformer and ResNet Neural Network

Abstract: With the rapid development of deep learning, Convolutional Neural Network (CNN), Vision Transformer, and Residual Network (ResNet) have become commonly used and efficient technologies in ...
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

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

DBMLLA: Double-Branch Mamba-Like Linear Attention Network for Hyperspectral Image Classification

Abstract: Convolutional neural networks (CNNs) and transformers have made remarkable achievements in hyperspectral image classification (HSIC). Unfortunately, CNN-based methods struggle to capture the ...
IEEE

Cloud-Type Classification Using Multimodal Integration Transformer Based on Cloud Images and Millimeter-Wave Cloud Radar Observations

Abstract: The existing methods fail to simultaneously utilize the appearance information and the internal structure of clouds for cloud-type classification, resulting in incomplete cloud ...
The Boston Globe

A rose by many other names — and images

WINCHESTER — “A Yellow Rose Project” is floral only by association, but the association really matters. Suffragists wore yellow roses to show their support for what would become the 19th Amendment, ...