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

https://doi.org/10.1109/igarss.2017.8127731
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What this work says

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

inferredcites →https://doi.org/10.1016/0041-5553(64)90137-5openalex-snapshot
Some methods of speeding up the convergence of iteration methods
inferredcites →https://doi.org/10.1080/014311600750037499openalex-snapshot
Smoothing Filter-based Intensity Modulation: A spectral preserve image fusion technique for improving spatial details
inferredcites →https://doi.org/10.1109/cvpr.2016.182openalex-snapshot
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/jstars.2013.2283236openalex-snapshot
Two-Step Sparse Coding for the Pan-Sharpening of Remote Sensing Images
inferredcites →https://doi.org/10.1109/lgrs.2014.2376034openalex-snapshot
A New Pan-Sharpening Method With Deep Neural Networks
inferredcites →https://doi.org/10.1109/tgrs.2010.2051674openalex-snapshot
A New Adaptive Component-Substitution-Based Satellite Image Fusion by Using Partial Replacement
inferredcites →https://doi.org/10.1109/tgrs.2016.2596290openalex-snapshot
An Integrated Framework for the Spatio–Temporal–Spectral Fusion of Remote Sensing Images
inferredcites →https://doi.org/10.1109/tip.2017.2662206openalex-snapshot
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
inferredcites →https://doi.org/10.1109/tpami.2015.2439281openalex-snapshot
Image Super-Resolution Using Deep Convolutional Networks
inferredcites →https://doi.org/10.1145/2647868.2654889openalex-snapshot
Caffe
inferredcites →https://doi.org/10.14358/pers.72.5.591openalex-snapshot
MTF-tailored Multiscale Fusion of High-resolution MS and Pan Imagery
inferredcites →https://doi.org/10.3390/rs8070594openalex-snapshot
Pansharpening by Convolutional Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1506.06579openalex-snapshot
Understanding Neural Networks Through Deep Visualization

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4622090openalex-extracted
inferred← citeshttps://doi.org/10.1016/j.inffus.2022.10.010openalex-snapshot
P2Sharpen: A progressive pansharpening network with deep spectral transformation
inferred← citeshttps://doi.org/10.1080/22797254.2025.2495314openalex-snapshot
A cross-band transformer on wavelets for pansharpening of satellite imagery
inferred← citeshttps://doi.org/10.1109/cvprf71909.2026.00604openalex-snapshot
Fast Kernel-Space Diffusion for Remote Sensing Pansharpening
inferred← citeshttps://doi.org/10.1109/igarss55030.2025.11242899openalex-snapshot
Pansharpening Based on Diffusion Model Via Adaptive Feature Separation Representation
inferred← citeshttps://doi.org/10.1109/jstars.2025.3567769openalex-snapshot
RTDU: Interpretable Region-Aware Transformer-Based Deep Unfolding Network for Pan-Sharpening
inferred← citeshttps://doi.org/10.1109/jstsp.2025.3628532openalex-snapshot
FusionRF: High-Fidelity Satellite Neural Radiance Fields From Multispectral and Panchromatic Acquisitions
inferred← citeshttps://doi.org/10.1109/tai.2025.3614584openalex-snapshot
CIGformer: Leveraging Continuous Information Guidance in Transformer-Based Pansharpening
inferred← citeshttps://doi.org/10.1109/tci.2024.3488569openalex-snapshot
INF 3 : Implicit Neural Feature Fusion Function for Multispectral and Hyperspectral Image Fusion
inferred← citeshttps://doi.org/10.1109/tgrs.2024.3454094openalex-snapshot
Nonlocal Deep Unfolding Pansharpening Method Based on Degradation Kernel Estimation
inferred← citeshttps://doi.org/10.1109/tgrs.2024.3496073openalex-snapshot
FusionMamba: Efficient Remote Sensing Image Fusion With State Space Model
inferred← citeshttps://doi.org/10.1109/tgrs.2025.3648716openalex-snapshot
Two-Step Pansharpening: A High-Frequency-Guided Spatial–Spectral Enhancement Network Based on Mixture of Experts
inferred← citeshttps://doi.org/10.1109/tgrs.2026.3664714openalex-snapshot
Nonlocal Deep Unfolding Pansharpening Method Based on Dynamic Kernel Prior
inferred← citeshttps://doi.org/10.1111/phor.70019openalex-snapshot
A Multiple Depth‐Level Spatial–Spectral Aggregation Network for Enhancing Multispectral and Hyperspectral Image Fusion
inferred← citeshttps://doi.org/10.1145/3569966.3570050openalex-snapshot
Research on Strawberry Positioning Technology including Maturity Classification
inferred← citeshttps://doi.org/10.1145/3581783.3612084openalex-snapshot
U2Net: A General Framework with Spatial-Spectral-Integrated Double U-Net for Image Fusion
inferred← citeshttps://doi.org/10.24963/ijcai.2022/118openalex-snapshot
SpanConv: A New Convolution via Spanning Kernel Space for Lightweight Pansharpening
inferred← citeshttps://doi.org/10.3390/rs16040616openalex-snapshot
GSA-SiamNet: A Siamese Network with Gradient-Based Spatial Attention for Pan-Sharpening of Multi-Spectral Images
inferred← citeshttps://doi.org/10.3390/rs17010013openalex-snapshot
A Three-Branch Pansharpening Network Based on Spatial and Frequency Domain Interaction
inferred← citeshttps://doi.org/10.3390/rs18132114openalex-snapshot
EBIFusion: An Enhancement Module Based on Error Backtracking for Remote Sensing Image Fusion
inferred← citeshttps://doi.org/10.3390/rs18162801openalex-snapshot
Confidence-Aware Selective Test-Time Adaptation for Remote-Sensing Pansharpening
inferred← citeshttps://doi.org/10.3390/s19183929openalex-snapshot
Survey of Deep-Learning Approaches for Remote Sensing Observation Enhancement
inferred← citeshttps://doi.org/10.3390/s24186039openalex-snapshot
A Multi-Stage Progressive Pansharpening Network Based on Detail Injection with Redundancy Reduction
inferred← citeshttps://doi.org/10.3788/lop250941openalex-snapshot
基于状态空间建模与偏移差分卷积的遥感图像融合方法
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