{"total":21,"rows":[{"id":"2105.10196","title":"Multimodal Remote Sensing Benchmark Datasets for Land Cover Classification with A Shared and Specific Feature Learning Model","created":"2021-05-21","cited_by_count":43,"area":null},{"id":"2203.02503","title":"HyperTransformer: A Textural and Spectral Feature Fusion Transformer for Pansharpening","created":"2022-03-04","cited_by_count":32,"area":null},{"id":"2107.02630","title":"Hyperspectral Pansharpening Based on Improved Deep Image Prior and Residual Reconstruction","created":"2021-07-06","cited_by_count":12,"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":"2111.13923","title":"Learning A 3D-CNN and Transformer Prior for Hyperspectral Image Super-Resolution","created":"2021-11-27","cited_by_count":10,"area":null},{"id":"2205.06407","title":"Tensor Decompositions for Hyperspectral Data Processing in Remote Sensing: A Comprehensive Review","created":"2022-05-13","cited_by_count":9,"area":null},{"id":"2407.01355","title":"Hyperspectral Pansharpening: Critical Review, Tools and Future Perspectives","created":"2024-07-01","cited_by_count":8,"area":null},{"id":"2409.06705","title":"HSR-KAN: Efficient Hyperspectral Image Super-Resolution via Kolmogorov-Arnold Networks","created":"2024-08-24","cited_by_count":2,"area":null},{"id":"2103.04354","title":"Feedback Refined Local-Global Network for Super-Resolution of Hyperspectral Imagery","created":"2021-03-07","cited_by_count":1,"area":null},{"id":"2103.10614","title":"Hyperspectral Image Super-Resolution in Arbitrary Input-Output Band Settings","created":"2021-03-19","cited_by_count":1,"area":null},{"id":"2103.12165","title":"Automated and Autonomous Experiment in Electron and Scanning Probe Microscopy","created":"2021-03-22","cited_by_count":1,"area":null},{"id":"2108.07471","title":"Guided Colorization Using Mono-Color Image Pairs","created":"2021-08-17","cited_by_count":1,"area":null},{"id":"2112.11329","title":"Multispectral image fusion based on super pixel segmentation","created":"2021-12-21","cited_by_count":1,"area":null},{"id":"2103.01449","title":"Interpretable Hyperspectral AI: When Non-Convex Modeling meets Hyperspectral Remote Sensing","created":"2021-03-02","cited_by_count":0,"area":null},{"id":"2107.02701","title":"Spatiotemporal Fusion in Remote Sensing","created":"2021-07-06","cited_by_count":0,"area":null},{"id":"2306.17197","title":"Guided Deep Generative Model-based Spatial Regularization for Multiband Imaging Inverse Problems","created":"2023-06-29","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":"2407.05279","title":"A Hybrid Registration and Fusion Method for Hyperspectral Super-resolution","created":"2024-07-07","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},{"id":"2509.06122","title":"SpecSwin3D: Generating Hyperspectral Imagery from Multispectral Data via Transformer Networks","created":"2025-09-07","cited_by_count":0,"area":null},{"id":"2511.15052","title":"Hyperspectral Super-Resolution with Inter-Image Variability via Degradation-based Low-Rank and Residual Fusion Method","created":"2025-11-19","cited_by_count":0,"area":null}],"next_cursor":null}