{"total":34,"rows":[{"id":"2205.01380","title":"Deep Learning in Multimodal Remote Sensing Data Fusion: A Comprehensive Review","created":"2022-05-03","cited_by_count":73,"area":null},{"id":"2103.04584","title":"Deep Gradient Projection Networks for Pan-sharpening","created":"2021-03-08","cited_by_count":44,"area":null},{"id":"2106.15368","title":"Text Prior Guided Scene Text Image Super-resolution","created":"2021-06-29","cited_by_count":37,"area":null},{"id":"2412.04802","title":"Unsupervised Hyperspectral Image Super-Resolution via Self-Supervised Modality Decoupling","created":"2024-12-06","cited_by_count":26,"area":null},{"id":"2112.12660","title":"InDuDoNet+: A Deep Unfolding Dual Domain Network for Metal Artifact Reduction in CT Images","created":"2021-12-23","cited_by_count":19,"area":null},{"id":"2205.03742","title":"Decoupled-and-Coupled Networks: Self-Supervised Hyperspectral Image Super-Resolution with Subpixel Fusion","created":"2022-05-07","cited_by_count":18,"area":null},{"id":"2209.10305","title":"KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution","created":"2022-09-21","cited_by_count":18,"area":null},{"id":"2205.07471","title":"Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction","created":"2022-05-16","cited_by_count":17,"area":null},{"id":"2305.07774","title":"PanFlowNet: A Flow-Based Deep Network for Pan-sharpening","created":"2023-05-12","cited_by_count":16,"area":null},{"id":"2204.04387","title":"Dual-Stage Approach Toward Hyperspectral Image Super-Resolution","created":"2022-04-09","cited_by_count":13,"area":null},{"id":"2302.06298","title":"Hyperspectral Image Super Resolution with Real Unaligned RGB Guidance","created":"2023-02-13","cited_by_count":13,"area":null},{"id":"2107.06808","title":"RCDNet: An Interpretable Rain Convolutional Dictionary Network for Single Image Deraining","created":"2021-07-14","cited_by_count":12,"area":null},{"id":"2108.06073","title":"Coupling Model-Driven and Data-Driven Methods for Remote Sensing Image Restoration and Fusion","created":"2021-08-13","cited_by_count":11,"area":null},{"id":"2110.11591","title":"Model Inspired Autoencoder for Unsupervised Hyperspectral Image Super-Resolution","created":"2021-10-22","cited_by_count":10,"area":null},{"id":"2205.14887","title":"Deep Posterior Distribution-based Embedding for Hyperspectral Image Super-resolution","created":"2022-05-30","cited_by_count":9,"area":null},{"id":"2108.05547","title":"Deep Amended Gradient Descent for Efficient Spectral Reconstruction from Single RGB Images","created":"2021-08-12","cited_by_count":7,"area":null},{"id":"2304.14612","title":"Local-Global Transformer Enhanced Unfolding Network for Pan-sharpening","created":"2023-04-28","cited_by_count":6,"area":null},{"id":"2308.16083","title":"Learned Image Reasoning Prior Penetrates Deep Unfolding Network for Panchromatic and Multi-Spectral Image Fusion","created":"2023-08-30","cited_by_count":5,"area":null},{"id":"2401.03835","title":"Limitations of Data-Driven Spectral Reconstruction -- An Optics-Aware Analysis","created":"2024-01-08","cited_by_count":5,"area":null},{"id":"2303.13659","title":"Probability-based Global Cross-modal Upsampling for Pansharpening","created":"2023-03-09","cited_by_count":4,"area":null},{"id":"2201.09851","title":"Hyperspectral Image Super-resolution with Deep Priors and Degradation Model Inversion","created":"2022-01-24","cited_by_count":3,"area":null},{"id":"2504.07603","title":"RASMD: RGB And SWIR Multispectral Driving Dataset for Robust Perception in Adverse Conditions","created":"2025-04-10","cited_by_count":3,"area":null},{"id":"2106.07066","title":"Enhanced Hyperspectral Image Super-Resolution via RGB Fusion and TV-TV Minimization","created":"2021-06-13","cited_by_count":2,"area":null},{"id":"2305.00132","title":"LD-GAN: Low-Dimensional Generative Adversarial Network for Spectral Image Generation with Variance Regularization","created":"2023-04-29","cited_by_count":2,"area":null},{"id":"2311.04491","title":"Explainable AI for Earth Observation: Current Methods, Open Challenges, and Opportunities","created":"2023-11-08","cited_by_count":2,"area":null},{"id":"2402.02411","title":"Physics-Inspired Degradation Models for Hyperspectral Image Fusion","created":"2024-02-04","cited_by_count":2,"area":null},{"id":"2409.08667","title":"Test-time Training for Hyperspectral Image Super-resolution","created":"2024-09-13","cited_by_count":2,"area":null},{"id":"2108.13584","title":"From Less to More: Spectral Splitting and Aggregation Network for Hyperspectral Face Super-Resolution","created":"2021-08-31","cited_by_count":1,"area":null},{"id":"2406.11882","title":"Applications of Explainable artificial intelligence in Earth system science","created":"2024-06-12","cited_by_count":1,"area":null},{"id":"2407.02387","title":"Real HSI-MSI-PAN image dataset for the hyperspectral/multi-spectral/panchromatic image fusion and super-resolution fields","created":"2024-07-02","cited_by_count":1,"area":null},{"id":"2101.07589","title":"Hyperspectral Image Super-Resolution with Spectral Mixup and Heterogeneous Datasets","created":"2021-01-19","cited_by_count":0,"area":null},{"id":"2307.03413","title":"Unsupervised Hyperspectral and Multispectral Images Fusion Based on the Cycle Consistency","created":"2023-07-07","cited_by_count":0,"area":null},{"id":"2310.02718","title":"Understanding Pan-Sharpening via Generalized Inverse","created":"2023-10-04","cited_by_count":0,"area":null},{"id":"2503.14892","title":"Degradation Alchemy: Self-Supervised Unknown-to-Known Transformation for Blind Hyperspectral Image Fusion","created":"2025-03-19","cited_by_count":0,"area":null}],"next_cursor":null}