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 ...
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

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 ...
IEEE

Scattering Mechanism Inspired Non-Gaussian Diffusion Model for Polarimetric SAR Image Classification

Abstract: The diffusion model has achieved excellent performance in natural image processing, which can learn the noise distribution through the degradation and restoration processes. However, the ...
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

Open-Set Domain Adaptation for Hyperspectral Image Classification Based on Reconstruction Discrepancy and Feature Alignment

Abstract: For hyperspectral image classification, domain adaptation algorithms often assume that the source domain and target domain share the same label space, and thus, classify all samples in the ...
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 ...
IEEE

ECP-Mamba: An Efficient Multiscale Self-Supervised Contrastive Learning Method With State Space Model for PolSAR Image Classification

Abstract: Recently, polarimetric synthetic aperture radar (PolSAR) image classification has been greatly promoted by deep neural networks. However, current deep learning (DL)-based PolSAR image ...