Cover Image

Hyperspectral Imaging

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hong, Danfeng, Li, Chenyu, Yokoya, Naoto, Zhang, Bing, Jia, Xiuping, Plaza, Antonio, Gamba, Paolo, Benediktsson, Jon Atli, Chanussot, Jocelyn
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SpectralGPT: Spectral Remote Sensing Foundation Model
by: Hong, Danfeng, et al.
Published: (2023)

MambaX: Image Super-Resolution with State Predictive Control
by: Li, Chenyu, et al.
Published: (2025)

SpectralMamba: Efficient Mamba for Hyperspectral Image Classification
by: Yao, Jing, et al.
Published: (2024)

KANO: Kolmogorov-Arnold Neural Operator for Image Super-Resolution
by: Li, Chenyu, et al.
Published: (2025)

Low-Rank Representations Meets Deep Unfolding: A Generalized and Interpretable Network for Hyperspectral Anomaly Detection
by: Li, Chenyu, et al.
Published: (2024)

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification
by: Han, Zhu, et al.
Published: (2024)

Hyperspectral Pansharpening: Critical Review, Tools and Future Perspectives
by: Ciotola, Matteo, et al.
Published: (2024)

A Survey of Sample-Efficient Deep Learning for Change Detection in Remote Sensing: Tasks, Strategies, and Challenges
by: Ding, Lei, et al.
Published: (2025)

Superpixelwise Low-rank Approximation based Partial Label Learning for Hyperspectral Image Classification
by: Yang, Shujun, et al.
Published: (2024)

SpectralEarth: Training Hyperspectral Foundation Models at Scale
by: Braham, Nassim Ait Ali, et al.
Published: (2024)

Smart Transfer: Leveraging Vision Foundation Model for Rapid Building Damage Mapping with Post-Earthquake VHR Imagery
by: Li, Hao, et al.
Published: (2026)

Joint Super-Resolution and Segmentation for 1-m Impervious Surface Area Mapping in China's Yangtze River Economic Belt
by: Deng, Jie, et al.
Published: (2025)

ChangeQuery: Advancing Remote Sensing Change Analysis for Natural and Human-Induced Disasters from Visual Detection to Semantic Understanding
by: Sun, Dongwei, et al.
Published: (2026)

Foundation Models in Remote Sensing: Evolving from Unimodality to Multimodality
by: Hong, Danfeng, et al.
Published: (2026)

UrbanSAM: Learning Invariance-Inspired Adapters for Segment Anything Models in Urban Construction
by: Li, Chenyu, et al.
Published: (2025)

Change Detection Between Optical Remote Sensing Imagery and Map Data via Segment Anything Model (SAM)
by: Chen, Hongruixuan, et al.
Published: (2024)

MP-HSIR: A Multi-Prompt Framework for Universal Hyperspectral Image Restoration
by: Wu, Zhehui, et al.
Published: (2025)

Vision-Language Model Purified Semi-Supervised Semantic Segmentation for Remote Sensing Images
by: Wang, Shanwen, et al.
Published: (2026)

An Object-Based Deep Learning Approach for Building Height Estimation from Single SAR Images
by: Memar, Babak, et al.
Published: (2025)

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

Geo-Registration of Terrestrial LiDAR Point Clouds with Satellite Images without GNSS
by: Wang, Xinyu, et al.
Published: (2025)

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention
by: Wang, Shanwen, 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)

Quantum Information-Empowered Graph Neural Network for Hyperspectral Change Detection
by: Lin, Chia-Hsiang, et al.
Published: (2024)

ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model
by: Chen, Hongruixuan, et al.
Published: (2024)

A Deep Learning framework for building damage assessment using VHR SAR and geospatial data: demonstration on the 2023 Turkiye Earthquake
by: Russo, Luigi, et al.
Published: (2025)

FedRSClip: Federated Learning for Remote Sensing Scene Classification Using Vision-Language Models
by: Lin, Hui, et al.
Published: (2025)

RS-MoE: A Vision-Language Model with Mixture of Experts for Remote Sensing Image Captioning and Visual Question Answering
by: Lin, Hui, et al.
Published: (2024)

How to Learn More? Exploring Kolmogorov-Arnold Networks for Hyperspectral Image Classification
by: Jamali, Ali, et al.
Published: (2024)

Learning Spectral Diffusion Prior for Hyperspectral Image Reconstruction
by: Yu, Mingyang, et al.
Published: (2025)

S$^2$Mamba: A Spatial-spectral State Space Model for Hyperspectral Image Classification
by: Wang, Guanchun, et al.
Published: (2024)

Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems
by: Zhang, Guyang, et al.
Published: (2025)

SDTN and TRN: Adaptive Spectral-Spatial Feature Extraction for Hyperspectral Image Classification
by: Ye, Fuyin, et al.
Published: (2025)

Determining Mosaic Resilience in Sugarcane Plants using Hyperspectral Images
by: Zia, Ali, et al.
Published: (2025)

SpectralTrain: A Universal Framework for Hyperspectral Image Classification
by: Zhou, Meihua, et al.
Published: (2025)

Enhancing Hyperspectral Images via Diffusion Model and Group-Autoencoder Super-resolution Network
by: Wang, Zhaoyang, et al.
Published: (2024)

AMBER -- Advanced SegFormer for Multi-Band Image Segmentation: an application to Hyperspectral Imaging
by: Dosi, Andrea, et al.
Published: (2024)

ObjFormer: Learning Land-Cover Changes From Paired OSM Data and Optical High-Resolution Imagery via Object-Guided Transformer
by: Chen, Hongruixuan, et al.
Published: (2023)

Spectral Discrepancy and Cross-modal Semantic Consistency Learning for Object Detection in Hyperspectral Image
by: He, Xiao, et al.
Published: (2025)

Hyperspectral Imaging-Based Grain Quality Assessment With Limited Labelled Data
by: Karmakar, Priyabrata, et al.
Published: (2024)