Imagen de Portada

Importance of Disjoint Sampling in Conventional and Transformer Models for Hyperspectral Image Classification

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Ahmad, Muhammad, Mazzara, Manuel, Distifano, Salvatore
Formato:	Preprint
Publicado:	2024
Materias:	Computer Vision and Pattern Recognition Image and Video Processing
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Transformers Fusion across Disjoint Samples for Hyperspectral Image Classification
por: Ahmad, Muhammad, et al.
Publicado: (2024)

WaveMamba: Spatial-Spectral Wavelet Mamba for Hyperspectral Image Classification
por: Ahmad, Muhammad, et al.
Publicado: (2024)

Spatial and Spatial-Spectral Morphological Mamba for Hyperspectral Image Classification
por: Ahmad, Muhammad, et al.
Publicado: (2024)

Pyramid Hierarchical Transformer for Hyperspectral Image Classification
por: Ahmad, Muhammad, et al.
Publicado: (2024)

Transformer for Multitemporal Hyperspectral Image Unmixing
por: Li, Hang, et al.
Publicado: (2024)

Correlation-Based Band Selection for Hyperspectral Image Classification
por: Deb, Dibyabha, et al.
Publicado: (2025)

S^2-Transformer for Mask-Aware Hyperspectral Image Reconstruction
por: Wang, Jiamian, et al.
Publicado: (2022)

DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution
por: Muhammad, Usman, et al.
Publicado: (2025)

Transformer-Driven Inverse Problem Transform for Fast Blind Hyperspectral Image Dehazing
por: Tang, Po-Wei, et al.
Publicado: (2025)

Hyperspectral Image Denoising via Spatial-Spectral Recurrent Transformer
por: Fu, Guanyiman, et al.
Publicado: (2023)

Boosting Adversarial Transferability for Hyperspectral Image Classification Using 3D Structure-invariant Transformation and Weighted Intermediate Feature Divergence
por: Liu, Chun, et al.
Publicado: (2025)

HyCoT: A Transformer-Based Autoencoder for Hyperspectral Image Compression
por: Fuchs, Martin Hermann Paul, et al.
Publicado: (2024)

HyFusion: Enhanced Reception Field Transformer for Hyperspectral Image Fusion
por: Lee, Chia-Ming, et al.
Publicado: (2025)

Efficient Hyperspectral Image Reconstruction Using Lightweight Separate Spectral Transformers
por: Li, Jianan, et al.
Publicado: (2026)

Content-driven Magnitude-Derivative Spectrum Complementary Learning for Hyperspectral Image Classification
por: Bai, Huiyan, et al.
Publicado: (2024)

Cross-domain Hyperspectral Image Classification based on Bi-directional Domain Adaptation
por: Zhang, Yuxiang, et al.
Publicado: (2025)

Multi-Fake Evolutionary Generative Adversarial Networks for Imbalance Hyperspectral Image Classification
por: Dam, Tanmoy, et al.
Publicado: (2021)

A Comprehensive Survey for Hyperspectral Image Classification: The Evolution from Conventional to Transformers and Mamba Models
por: Ahmad, Muhammad, et al.
Publicado: (2024)

Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network
por: Muhammad, Usman, et al.
Publicado: (2025)

3DSS-Mamba: 3D-Spectral-Spatial Mamba for Hyperspectral Image Classification
por: He, Yan, et al.
Publicado: (2024)

Hyperspectral Image Classification Based on Faster Residual Multi-branch Spiking Neural Network
por: Liu, Yang, et al.
Publicado: (2024)

IGroupSS-Mamba: Interval Group Spatial-Spectral Mamba for Hyperspectral Image Classification
por: He, Yan, et al.
Publicado: (2024)

HSIGene: A Foundation Model For Hyperspectral Image Generation
por: Pang, Li, et al.
Publicado: (2024)

Physics-Inspired Degradation Models for Hyperspectral Image Fusion
por: Lian, Jie, et al.
Publicado: (2024)

Hyperspectral Image Generation with Unmixing Guided Diffusion Model
por: Shen, Shiyu, et al.
Publicado: (2025)

3D-Convolution Guided Spectral-Spatial Transformer for Hyperspectral Image Classification
por: Varahagiri, Shyam, et al.
Publicado: (2024)

Degradation Alchemy: Self-Supervised Unknown-to-Known Transformation for Blind Hyperspectral Image Fusion
por: Huang, He, et al.
Publicado: (2025)

Physical Degradation Model-Guided Interferometric Hyperspectral Reconstruction with Unfolding Transformer
por: Li, Yuansheng, et al.
Publicado: (2025)

Diffusion Models for Hyperspectral Image Analysis: A Comprehensive Review
por: Hu, Xing, et al.
Publicado: (2025)

DCT-Mamba3D: Spectral Decorrelation and Spatial-Spectral Feature Extraction for Hyperspectral Image Classification
por: Cao, Weijia, et al.
Publicado: (2025)

In2SET: Intra-Inter Similarity Exploiting Transformer for Dual-Camera Compressive Hyperspectral Imaging
por: Wang, Xin, et al.
Publicado: (2023)

Classification of Endoscopy and Video Capsule Images using CNN-Transformer Model
por: Subedi, Aliza, et al.
Publicado: (2024)

Spectral-Enhanced Transformers: Leveraging Large-Scale Pretrained Models for Hyperspectral Object Tracking
por: Mohamed, Shaheer, et al.
Publicado: (2025)

Preventing Overfitting in Deep Image Prior for Hyperspectral Image Denoising
por: Gkotsis, Panagiotis, et al.
Publicado: (2026)

Deep Learning for In-Orbit Cloud Segmentation and Classification in Hyperspectral Satellite Data
por: Kovac, Daniel, et al.
Publicado: (2024)

HIR-Diff: Unsupervised Hyperspectral Image Restoration Via Improved Diffusion Models
por: Pang, Li, et al.
Publicado: (2024)

A Deep Unrolling Model with Hybrid Optimization Structure for Hyperspectral Image Deconvolution
por: Gkillas, Alexandros, et al.
Publicado: (2023)

THAT: Token-wise High-frequency Augmentation Transformer for Hyperspectral Pansharpening
por: Jin, Hongkun, et al.
Publicado: (2025)

Randomized Principal Component Analysis for Hyperspectral Image Classification
por: Ustuner, Mustafa
Publicado: (2024)

Advancements in Ship Detection: Comparative Analysis of Optical and Hyperspectral Sensors
por: Shamsi, Alyazia Al, et al.
Publicado: (2024)