| MVL |
Mena et al. 2025 |
Multiple fusion strategies with temporal data |
https://github.com/fmenat/optimal-multiview-crop-classifier |
| SSL4EO-S12 |
Wang et al. 2024 |
Self-supervised model |
https://github.com/zhu-xlab/SSL4EO-S12 |
| EarthGPT |
Zhang et al. 2024 |
Feature-level fusion with transformer layers |
https://github.com/wivizhang/EarthGPT |
| ContextFormer |
Benson et al. 2024 |
Feature-level fusion with transformer |
https://github.com/vitusbenson/greenearthnet |
| SEnSeIv2 |
Francis 2024 |
Sensor-invariant model |
https://github.com/aliFrancis/SEnSeIv2 |
| OmniSat |
Astruc et al. 2024 |
Feature-level fusion with transformer layers and pre-training |
https://github.com/gastruc/OmniSat |
| MMEarth |
Nedungadi et al. 2024 |
Single-view input to predict another views (pretext task) |
https://github.com/vishalned/MMEarth-train |
| MambaDifussion |
Du et al. 2024 |
Feature level fusion with Mamba over different layers (skip connection) including diffusion models |
https://github.com/WenliangDu/MambaDiffusion |
| FusionMamba |
Peng et al. 2024 |
Dense fusion with Mamba layers |
https://github.com/PSRben/FusionMamba |
| SatViT |
Fuller et al. |
Input-level fusion with ViT (with self-supervised training) |
https://github.com/antofuller/SatViT |
| ELECTS |
Russwurm et al. 2023 |
Input-level fusion with LSTM. |
https://github.com/marccoru/elects |
| MV CNN |
Ferrari et al. 2023 |
Multiple fusion strategies with 2D CNN (encoder-decoder) |
https://github.com/felferrari/deforestation-from-data-fusion |
| AFCF3D-Net |
Ye et al. 2023 |
Input-level fusion with 3D CNN. |
https://github.com/wm-Githuber/AFCF3D-Net |
| UnCRtainTS |
Ebel et al 2023 |
Input fusion with 2D CNN and attention. |
https://github.com/PatrickTUM/UnCRtainTS |
| MFT |
Roy et al. 2023 |
Feature-level fusion with transformer modules (one source - LIDAR- is used as a query over the main source - optical) |
https://github.com/AnkurDeria/MFT |
| PRESTO |
Tseng et al. 2023 |
Input-level fusion with transformer modules (self-supervised pretraining) |
https://github.com/nasaharvest/presto |
| Cross-HL |
Roy et al. 2023 |
Feature-level fusion with directed attention in transformer layers |
https://github.com/AtriSukul1508/Cross-HL |
| SCT Fusion |
Hoffman et al. 2023 |
Dense fusion with tranformer layers and class tokens in all |
https://git.tu-berlin.de/rsim/sct-fusion |
| MMST-ViT |
Lin et al. 2023 |
Feature-level fusion with transformer layers |
https://github.com/fudong03/MMST-ViT |
| DiffusionSat |
Khanna et al. 2023 |
Multi-modal diffusion generative model |
https://github.com/samar-khanna/DiffusionSat |
| AMM-FuseNet |
Ma et al. 2022 |
Feature-level fusion with 2D CNN and attention. |
https://github.com/oktaykarakus/ReSIF/tree/main/AMM-FuseNet |
| MCANet |
Li et al. 2022 |
Dense fusion with 2D CNN and cross attention. |
https://github.com/yisun98/SOLC |
| ChangeFormer |
Bandara et al. 2022 |
Dense fusion with transformer and attention. |
https://github.com/wgcban/ChangeFormer |
| CMAFF |
Qingyun et al. 2022 |
Dense fusion with 2D CNN and cross attention. |
https://github.com/DocF/CMAFF |
| OmbriaNet |
Drakonakis et al. 2022 |
Feature fusion with 2D CNN and skip-connections |
https://github.com/geodrak/OMBRIA |
| DCSA-Net |
Wang et al. 2022 |
Hybrid fusion with 2D CNN and attention. |
https://github.com/Julia90/DCSA-Net |
| Siamese U-Net |
Cummings et al. 2022 |
Dense fusion with 2D CNN and skip-connections |
https://github.com/solcummings/earthvision2021-weakly-supervised |
| AM$^3$Net |
Wang et al. 2022 |
Feature-level fusion with 2D CNN and cross attention. |
https://github.com/Cimy-wang/AM3Net_Multimodal_Data_Fusion |
| MAHiDFNet |
Wang et al. 2022 |
Dense feature fusion with 2D CNN. |
https://github.com/SYFYN0317/-MAHiDFNet |
| EndNet |
Hong et al. 2022 |
Feature-level fusion with 2D CNN and view-reconstruction. |
https://github.com/danfenghong/IEEE_GRSL_EndNet |
| SE$^2$Net |
Fang et al. 2022 |
Feature-level fusion with 2D CNN. |
https://github.com/likyoo/Multimodal-Remote-Sensing-Toolkit |
| MV CNN |
Lu et al. 2022 |
Feature-level fusion with 2D CNN and adaptive attention. |
https://github.com/GeoX-Lab/UnifiedDL-UFZ-extraction |
| IP-CNN |
Zhang et al. 2022 |
Feature-level fusion with 2D CNN and view-reconstruction. |
https://github.com/HelloPiPi/IP-CNN-code |
| ASF2N |
Gao et al. 2022 |
Feature-level fusion with 2D CNN and attention. |
https://github.com/zhonghaocheng/ELSEVIER_IJAEOG_AS2F2N << Empty code |
| SEnSeI |
Francis et al. 2022 |
Sensor invariant model based on 2D CNN |
https://github.com/aliFrancis/SEnSeI |
| MV NN |
Danilevicz et al. 2021 |
Feature-level fusion with tabular NN and 2D CNN. |
https://github.com/mdanilevicz/maize_early_yield_prediction |
| CFCNN |
He et al. 2021 |
Feature-level fusion with 2D and 1D CNN. |
https://github.com/SysuHe/MultiSourceData_CFCNN |
| S2FL |
Hong et al. 2021 |
Feature-level fusion with feature constraints. |
https://github.com/danfenghong/ISPRS_S2FL |
| CMGFNet |
Hosseinpour et al. 2022 |
Dense fusion with 2D CNN and gated attention. |
https://github.com/hamidreza2015/CMGFNet-Building_Extraction |
| MDL-RS |
Hong et al. 2021 |
Multiple fusion strategies with NN. |
https://github.com/danfenghong/IEEE_TGRS_MDL-RS |
| MV PSE-TAE |
Ofori-Ampofo et al. 2021 |
Multiple fusion strategies with PSE-TAE. |
https://github.com/ellaampy/CropTypeMapping |
| CCR-Net |
Wu et al. 2021 |
Feature-level fusion with 2D CNN and cross-view reconstruction. |
https://github.com/danfenghong/IEEE_TGRS_CCR-Net |
| LFMC from SAR |
Rao et al |
Input-level fusion with LSTM |
https://github.com/kkraoj/lfmc_from_sar |
| FusAtNet |
Mohla et al. 2020 |
Feature-level fusion with 2D CNN and cross attention. |
https://github.com/ShivamP1993/FusAtNet |
| HRWN |
Zhao et al. 2020 |
Input-level fusion with 2D CNN and pixel graph constraints. |
https://github.com/xudongzhao461/HRWN |
| UNet-CLSTM |
Rustowicz et al. 2019 |
Decision-level fusion with 2D CNN and convolutional-LSTM |
https://github.com/roserustowicz/crop-type-mapping |
| Multi3Net |
Rudner et al. 2019 |
Feature-level fusion with 2D CNN. |
https://github.com/FrontierDevelopmentLab/multi3net |
| V-FuseNet |
Audebert et al. 2018 |
Dense fusion with 2D CNN and central model. |
https://github.com/nshaud/DeepNetsForEO |
| MV CNN |
Xu et al. 2018 |
Feature-level fusion with 2D CNN. |
https://github.com/Hsuxu/Two-branch-CNN-Multisource-RS-classification << Not available |