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P2Sharpen: A progressive pansharpening network with deep spectral transformation

https://doi.org/10.1016/j.inffus.2022.10.010

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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A Variational Model for P+XS Image Fusion

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Application of hyperspectral remote sensing for environment monitoring in mining areas

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Red and photographic infrared linear combinations for monitoring vegetation

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Pan-sharpening via multi-scale and multiple deep neural networks

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A review of remote sensing image fusion methods

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Integrating model- and data-driven methods for synchronous adaptive multi-band image fusion

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Pan-GAN: An unsupervised pan-sharpening method for remote sensing image fusion

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Image fusion meets deep learning: A survey and perspective

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Laplacian pyramid networks: A new approach for multispectral pansharpening

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A theoretical and practical survey of image fusion methods for multispectral pansharpening

inferredcites →https://doi.org/10.1016/j.isprsjprs.2020.12.014openalex-snapshot

GTP-PNet: A residual learning network based on gradient transformation prior for pansharpening

inferredcites →https://doi.org/10.1016/j.sigpro.2016.05.002openalex-snapshot

Image super-resolution: The techniques, applications, and future

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Spectral information analysis of image fusion data for remote sensing applications

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A universal image quality index

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A Variational Pan-Sharpening With Local Gradient Constraints

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Deep Gradient Projection Networks for Pan-sharpening

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PanNet: A Deep Network Architecture for Pan-Sharpening

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A wavelet based algorithm for pan sharpening Landsat 7 imagery

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Multi-scale-and-depth convolutional neural network for remote sensed imagery pan-sharpening

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Shallow–Deep Convolutional Network and Spectral-Discrimination-Based Detail Injection for Multispectral Imagery Pan-Sharpening

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Boosting the Accuracy of Multispectral Image Pansharpening by Learning a Deep Residual Network

inferredcites →https://doi.org/10.1109/tgrs.2002.803623openalex-snapshot

Context-driven fusion of high spatial and spectral resolution images based on oversampled multiresolution analysis

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Introduction of sensor spectral response into image fusion methods. Application to wavelet-based methods

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A new intensity-hue-saturation fusion approach to image fusion with a tradeoff parameter

inferredcites →https://doi.org/10.1109/tgrs.2007.904923openalex-snapshot

Comparison of Pansharpening Algorithms: Outcome of the 2006 GRS-S Data-Fusion Contest

inferredcites →https://doi.org/10.1109/tgrs.2007.912448openalex-snapshot

Synthesis of Multispectral Images to High Spatial Resolution: A Critical Review of Fusion Methods Based on Remote Sensing Physics

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A New Adaptive Component-Substitution-Based Satellite Image Fusion by Using Partial Replacement

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PAN-Guided Cross-Resolution Projection for Local Adaptive Sparse Representation- Based Pansharpening

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Robust Band-Dependent Spatial-Detail Approaches for Panchromatic Sharpening

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A Dual-Path Fusion Network for Pan-Sharpening

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Effective Pan-Sharpening With Transformer and Invertible Neural Network

inferredcites →https://doi.org/10.1109/tgrs.2022.3179449openalex-snapshot

MMDN: Multi-Scale and Multi-Distillation Dilated Network for Pansharpening

inferredcites →https://doi.org/10.1109/tip.2003.819861openalex-snapshot

Image quality assessment: from error visibility to structural similarity

inferredcites →https://doi.org/10.1109/tip.2011.2109730openalex-snapshot

FSIM: A Feature Similarity Index for Image Quality Assessment

inferredcites →https://doi.org/10.1109/tip.2018.2819501openalex-snapshot

Full Scale Regression-Based Injection Coefficients for Panchromatic Sharpening

inferredcites →https://doi.org/10.1109/tpami.2015.2439281openalex-snapshot

Image Super-Resolution Using Deep Convolutional Networks

inferredcites →https://doi.org/10.1109/tpami.2019.2913372openalex-snapshot

Squeeze-and-Excitation Networks

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SSconv

inferredcites →https://doi.org/10.14358/pers.74.2.193openalex-snapshot

Multispectral and Panchromatic Data Fusion Assessment Without Reference

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MSDRN: Pansharpening of Multispectral Images via Multi-Scale Deep Residual Network

inferredcites →https://doi.org/10.3390/rs8070594openalex-snapshot

Pansharpening by Convolutional Neural Networks

What points at this work

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Feature Fusion in Medical AI for Enhanced Diagnosis and Decision-Making

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A Comprehensive Review on Deep Learning-Based Pansharpening Approaches

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C2IENet: Multi-branch medical image fusion based on contrastive constraint features and information exchange

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A Metaheuristic Optimization-Based Solution to MTF-GLP-Based Pansharpening

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RaGMAN: A relativistic average generative multi-adversarial network for pansharpening

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D2PCFN: Dual domain progressive cross-fusion network for remote sensing image pansharpening

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P3TFusion: Progressive Two-Stage Infrared and Visible Image Fusion Network Focused on Enhancing Target and Texture Information

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MFRIA: Multi-scale feature representation and interactive attention for infrared and visible image fusion

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Pansharpening of remote sensing images using dominant pixels

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SSPFusion: A semantic structure-preserving approach for multi-modality image fusion

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Panchromatic and multispectral image fusion for remote sensing and earth observation: Concepts, taxonomy, literature review, evaluation methodologies and challenges ahead

inferred← citeshttps://doi.org/10.1016/j.inffus.2023.102001openalex-snapshot

Zero-shot semi-supervised learning for pansharpening

inferred← citeshttps://doi.org/10.1016/j.inffus.2023.102003openalex-snapshot

Zero-Sharpen: A universal pansharpening method across satellites for reducing scale-variance gap via zero-shot variation

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Diffusion model with disentangled modulations for sharpening multispectral and hyperspectral images

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Bidomain uncertainty gated recursive network for pan-sharpening

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Bi-domain fusion pyramid network for pansharpening with deep anisotropic diffusion

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Imaging-Informed Progressive Fusion for Mosaic-based HSI Reconstruction

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NIRFreq: A frequency-aware and spectrally guided framework for multispectral pansharpening

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Focusing on neglected natural images: A self-supervised learning model for pan-sharpening

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A spectral-constrained HVCE framework for adaptive optical-SAR fusion to enhance soil moisture retrieval

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Progressive learning in cross-modal cross-scale fusion transformer for visible-infrared video-based person reidentification

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CGFformer: Cluster-guidance frequency Transformer for pansharpening

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Hybrid dual-transformer pansharpening network for enhanced spatial-spectral fidelity

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A pansharpening method combining iterative filtering and NSST-NSML-PAPCNN to optimize spatial detail extraction and injection

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Transformer-based dual path cross fusion for pansharpening remote sensing images

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Transformer-based adaptive 3D residual CNN with sparse representation for PAN-sharpening of multispectral images

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GLFAPNet: global-local feature alternation network for multispectral and panchromatic image fusion

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Efficient super resolution-based detail injection network for multispectral pan-sharpening

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A novel pansharpening: when multiscale adaptive attention meets dual enhanced networks and low-rank tensor decomposition

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Fusion of UAV–Sentinel‑2 images using convolutional neural networks for remote-sensing analysis

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A cross-band transformer on wavelets for pansharpening of satellite imagery

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Attention Multilayer Perceptron Fusion Network

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One Model for ALL: Low-Level Task Interaction Is a Key to Task-Agnostic Image Fusion

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Deep Adaptive Unfolded Network via Spatial Morphology Stripping and Spectral Filtration for Pan-Sharpening

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A Novel Fidelity Based on the Adaptive Domain for Pansharpening

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Dual-Branch Pansharpening Network via Skip Dense Residual and Sparse Attention

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SDRCNN: A Single-Scale Dense Residual Connected Convolutional Neural Network for Pansharpening

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Unsupervised Single-Generator CycleGAN-Based Pansharpening With Spatial-Spectral Degradation Modeling

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Fusion-Decomposition Pan-Sharpening Network With Interactive Learning of Representation Graph

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ZSBP: Zero-Shot Semi-Supervised Learning for Blind Pansharpening

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FEANet: A Novel Fusion-Enhanced Dual-Subnetwork for Antinoise Hyperpansharpening

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CMT: Cross Modulation Transformer With Hybrid Loss for Pansharpening

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Deep Learning in Remote Sensing Image Fusion: Methods, protocols, data, and future perspectives

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CIGformer: Leveraging Continuous Information Guidance in Transformer-Based Pansharpening

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Frequency Decoupled Domain-Irrelevant Feature Learning for Pan-Sharpening

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T 2 EA: Target-Aware Taylor Expansion Approximation Network for Infrared and Visible Image Fusion

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Mun-GAN: A Multiscale Unsupervised Network for Remote Sensing Image Pansharpening

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Variational Pansharpening Based on Coefficient Estimation With Nonlocal Regression

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Attention-Guided Progressive Frequency-Decoupled Network for Pan-Sharpening

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Nonlocal Deep Unfolding Pansharpening Method Based on Degradation Kernel Estimation

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Variational Zero-Shot Multispectral Pansharpening

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Contour-Aware Dynamic Low-High Frequency Integration for Pan-Sharpening

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FAFormer: Frequency-Analysis-Based Transformer Focusing on Correlation and Specificity for Pansharpening

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HTMP: Triple-Scale Multilevel Network With Hessian Spatial Loss for Pansharpening

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S²CMamba: A Mamba-Based Pansharpening Model Incorporating Spatial and Spectral Consistency

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Pansharpening Based on Multiresolution Panchromatic Feature Guidance

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MultiPC: Multitask Learning for Joint Pansharpening and Classification From Multispectral and Panchromatic Images

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CSSL: High-Fidelity Pansharpening via Compressed Solution Space Learning

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CrossDiff: Exploring Self-SupervisedRepresentation of Pansharpening via Cross-Predictive Diffusion Model

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DTEA: Degradation-Aware Taylor Expansion Approximation Network for Pansharpening

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VOGTNet: Variational Optimization-Guided Two-Stage Network for Multispectral and Panchromatic Image Fusion

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Feature-aligned pansharpening framework based on generative adversarial network: an unsupervised pansharpening network based on a model-driven paradigm

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SSTNet: spatial-spectral transformer network for panchromatic sharpening

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Deep Unfolded Network with Intrinsic Supervision for Pan-Sharpening

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A Spatio-Spectral Adaptive Zero-Shot Variational Distillation Framework for Pansharpening

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MDSCNN: Remote Sensing Image Spatial–Spectral Fusion Method via Multi-Scale Dual-Stream Convolutional Neural Network

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Pansharpening Techniques: Optimizing the Loss Function for Convolutional Neural Networks

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A Multi-Stage Progressive Pansharpening Network Based on Detail Injection with Redundancy Reduction

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Conditional Skipping Mamba Network for Pan-Sharpening

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Next-Generation Firewalls: Beyond Traditional Perimeter Defense

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