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

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 ...
CNN

Trump administration quietly canceled the nation’s largest solar project

The Trump administration’s cancellation of the largest solar project in the United States has sparked confusion and concern among Republicans and Democrats alike. Known as the Esmeralda 7, the ...
Hosted on MSN

Kim Jong-un Hosts Socialist Leaders to Project 'Normal State' Image

North Korean leader Kim Jong-un stated in a speech at the 80th-anniversary event of the Workers’ Party of Korea that as a “faithful member of the socialist forces,” “the international authority of our ...
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

Fourier Phase Preservation and Spectral Random Augmentation for Cross-Scene Hyperspectral Image Classification With Ensemble Networks

Abstract: Cross-scene hyperspectral image (HSI) classification faces significant challenges due to spectral–spatial domain shifts. Existing domain generalization (DG) methods typically generate ...
IEEE

Concern With Center-Pixel Labeling: Center-Specific Perception Transformer Network for Hyperspectral Image Classification

Abstract: Self-attention-based approaches that leverage global context information for hyperspectral image (HSI) classification have gained increasing prominence. Nevertheless, due to the assignment ...
IEEE

CellMix: A General Instance Relationship-Based Method for Data Augmentation Toward Pathology Image Classification

Abstract: In the pathology image analysis, obtaining and maintaining high-quality annotated samples is an extremely labor-intensive task. To overcome this challenge, mixing-based methods have ...
IEEE

An Explainable Approach to Land-Use Classification Using CNN-LSTM and LIME

Abstract: The evolution of landscapes has opened the opportunity to utilize previously unused land for various purposes, such as agriculture and urban development. This approach promotes sustainable ...