Cover Image

Unregistered Spectral Image Fusion: Unmixing, Adversarial Learning, and Recoverability

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Song, Jiahui, Shrestha, Sagar, Fu, Xiao
Format:	Preprint
Published:	2026
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Rethinking Coupled Tensor Analysis for Hyperspectral Super-Resolution: Recoverable Modeling Under Endmember Variability
by: Ding, Meng, et al.
Published: (2025)

Unpaired Image-to-Image Translation for Segmentation and Signal Unmixing
by: Andrejic, Nikola, et al.
Published: (2025)

UnmixingSR: Material-aware Network with Unsupervised Unmixing as Auxiliary Task for Hyperspectral Image Super-resolution
by: Yu, Yang
Published: (2024)

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

Hyperspectral Unmixing Hierarchies
by: Garrett, Joseph L., et al.
Published: (2026)

Polyhedral Unmixing: Bridging Semantic Segmentation with Hyperspectral Unmixing via Polyhedral-Cone Partitioning
by: Bottenmuller, Antoine, et al.
Published: (2026)

A Tractable Two-Step Linear Mixing Model Solved with Second-Order Optimization for Spectral Unmixing under Variability
by: Haijen, Xander, et al.
Published: (2025)

Generative Adversarial Networks for Spatio-Spectral Compression of Hyperspectral Images
by: Fuchs, Martin Hermann Paul, et al.
Published: (2023)

Hyperspectral Unmixing of Agricultural Images taken from UAV Using Adapted U-Net Architecture
by: Paura, Vytautas, et al.
Published: (2024)

Hyperspectral Image Fusion with Spectral-Band and Fusion-Scale Agnosticism
by: Liang, Yu-Jie, et al.
Published: (2026)

A Deep Unfolding Framework for Diffractive Snapshot Spectral Imaging
by: Zhuge, Zhengyue, et al.
Published: (2025)

An Integrated Framework for the Heterogeneous Spatio-Spectral-Temporal Fusion of Remote Sensing Images
by: Jiang, Menghui, et al.
Published: (2021)

Unsupervised Hyperspectral and Multispectral Image Blind Fusion Based on Deep Tucker Decomposition Network with Spatial-Spectral Manifold Learning
by: Wang, He, et al.
Published: (2024)

A General Framework for Group Sparsity in Hyperspectral Unmixing Using Endmember Bundles
by: Bhusal, Gokul, et al.
Published: (2025)

Deep Diffusion Models and Unsupervised Hyperspectral Unmixing for Realistic Abundance Map Synthesis
by: Pastorino, Martina, et al.
Published: (2025)

Adaptive Multi-Order Graph Regularized NMF with Dual Sparsity for Hyperspectral Unmixing
by: Chen, Hui, et al.
Published: (2025)

Preprocessing Algorithm Leveraging Geometric Modeling for Scale Correction in Hyperspectral Images for Improved Unmixing Performance
by: Sumanasekara, Praveen, et al.
Published: (2025)

Image Processing and Machine Learning for Hyperspectral Unmixing: An Overview and the HySUPP Python Package
by: Rasti, Behnood, et al.
Published: (2023)

Adversarial Distortion Learning for Medical Image Denoising
by: Ghahremani, Morteza, et al.
Published: (2022)

Unmixing Optical Signals from Undersampled Volumetric Measurements by Filtering the Pixel Latent Variables
by: Bouchard, Catherine, et al.
Published: (2023)

DTU-Net: A Multi-Scale Dilated Transformer Network for Nonlinear Hyperspectral Unmixing
by: Wang, ChenTong, et al.
Published: (2025)

A Spectral Diffusion Prior for Hyperspectral Image Super-Resolution
by: Liu, Jianjun, et al.
Published: (2023)

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

Adversarial Purification and Fine-tuning for Robust UDC Image Restoration
by: Song, Zhenbo, et al.
Published: (2024)

Latent Diffusion Prior Enhanced Deep Unfolding for Snapshot Spectral Compressive Imaging
by: Wu, Zongliang, et al.
Published: (2023)

Structure Unbiased Adversarial Model for Medical Image Segmentation
by: Zhang, Tianyang, et al.
Published: (2022)

In-Context Learning for Label-Efficient Cancer Image Classification in Oncology
by: Shrestha, Mobina, et al.
Published: (2025)

Optimal Transport Based Hyperspectral Unmixing for Highly Mixed Observations
by: Doutsas, D., et al.
Published: (2025)

CLIP Based Region-Aware Feature Fusion for Automated BBPS Scoring in Colonoscopy Images
by: Fu, Yujia, et al.
Published: (2025)

Learning Exhaustive Correlation for Spectral Super-Resolution: Where Spatial-Spectral Attention Meets Linear Dependence
by: Wang, Hongyuan, et al.
Published: (2023)

Boosting Adversarial Transferability via High-Frequency Augmentation and Hierarchical-Gradient Fusion
by: Zheng, Yayin, et al.
Published: (2025)

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

Fast Semisupervised Unmixing Using Nonconvex Optimization
by: Rasti, Behnood, et al.
Published: (2024)

MetaFE-DE: Learning Meta Feature Embedding for Depth Estimation from Monocular Endoscopic Images
by: Lu, Dawei, et al.
Published: (2025)

Spectral U-Net: Enhancing Medical Image Segmentation via Spectral Decomposition
by: Peng, Yaopeng, et al.
Published: (2024)

Breaking Spatial Boundaries: Spectral-Domain Registration Guided Hyperspectral and Multispectral Blind Fusion
by: Yang, Kunjing, et al.
Published: (2025)

FusionMamba: Efficient Remote Sensing Image Fusion with State Space Model
by: Peng, Siran, et al.
Published: (2024)

Paired and Unpaired Image to Image Translation using Generative Adversarial Networks
by: Kumar, Gaurav, et al.
Published: (2025)

MiSiSUn: Minimum Simplex Semisupervised Unmixing
by: Rasti, Behnood, et al.
Published: (2026)