Browse State-of-the-Art › Remote Sensing Image Classification
Remote Sensing Image Classification
39 papers with code · 1 benchmark · 10 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| FireRisk (4 rows) | ResNet-50 | FireRisk: A Remote Sensing Dataset for Fire Risk Assessment with... | code | — | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
10 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
2 subtasks in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
30 shown of 39 papers with code (93 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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20 Mar 2020 4 repositories listedInspired by the success of edge enhanced GAN (EEGAN) and ESRGAN, we apply a new edge-enhanced super-resolution GAN (EESRGAN) to improve the image quality of remote sensing images and use different detector networks in…
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28 Mar 2024 3 repositories listed Syntology ran 8 of 10 samples · 2 unverifiedRemote sensing image classification forms the foundation of various understanding tasks, serving a crucial function in remote sensing image interpretation.
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26 Aug 2024 2 repositories listedThe MSFMamba network is composed of three key components: the Multi-Scale Spatial Mamba (MSpa-Mamba) block, the Spectral Mamba (Spe-Mamba) block, and the Fusion Mamba (Fus-Mamba) block.
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14 Jul 2022 2 repositories listedWe present AiTLAS: Benchmark Arena -- an open-source benchmark suite for evaluating state-of-the-art deep learning approaches for image classification in Earth Observation (EO).
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31 Mar 2022 2 repositories listedVision transformers (ViTs) have been trending in image classification tasks due to their promising performance when compared to convolutional neural networks (CNNs).
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18 Feb 2020 2 repositories listedOn average, it achieves intersection-over-union (IoU) values of ~71% across different cameras and ~69% across different winters, greatly outperforming prior work.
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6 Jul 2025 1 repository listedHyperspectral image (HSI) classification faces challenges such as high-dimensional data, limited training samples, and spectral redundancy, which often lead to overfitting and insufficient generalization capability.
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23 Apr 2025 1 repository listedBased on the selective state space model, a cross-modal diff-attention module (CMDA-Module) is designed to extract and separate the common features and their respective dominant features of MS and PAN images.
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14 Feb 2025 1 repository listedMoreover, a cascade transformer encoder is employed for global spectral feature extraction, and a simple yet efficient cross-layer feature fusion (CFF) module is designed to reduce the loss of crucial information in the…
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20 Jan 2025 1 repository listedOur pruning strategy is defined based on the layer-wise relevance propagation (LRP) driven explanations to: 1) efficiently and effectively identify the most relevant and informative model parameters (to be exchanged…
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17 Dec 2024 1 repository listedModel pruning is an effective method for model compression.
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5 Sep 2024 1 repository listedThis study focuses on identifying the most effective pre-trained model for land use classification in onboard satellite processing, emphasizing achieving high accuracy, computational efficiency, and robustness against…
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16 Jul 2024 1 repository listedRemote sensing scene classification (RSSC) aims to understand and analyze the semantic information at the scene level with complex geographical properties.
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3 Apr 2024 1 repository listedObject detection in remotely sensed satellite pictures is fundamental in many fields such as biophysical, and environmental monitoring.
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15 Feb 2024 1 repository listedSatellite missions and Earth Observation (EO) systems represent fundamental assets for environmental monitoring and the timely identification of catastrophic events, long-term monitoring of both natural resources and…
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8 Nov 2023 1 repository listed Syntology ran 8 of 15 samples · 7 unverified · 15 pointer-only (licence)Existing MIM-based methods mostly focus on spatial feature modeling, neglecting spectral feature modeling.
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13 Jul 2023 1 repository listedReferring to the idea of dynamic network, dynamic group convolution(DGC) is designed on 3d convolution kernel.
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30 Jun 2023 1 repository listed Syntology ran 3 of 4 samples · 1 unverified · 4 pointer-only (licence)So when applied to large-scale real-world GPS coordinate datasets, which require distance metric learning on the spherical surface, both types of models can fail due to the map projection distortion problem (2D) and the…
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6 Jun 2023 1 repository listedWe present a comprehensive analysis of quantitatively evaluating explainable artificial intelligence (XAI) techniques for remote sensing image classification.
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13 Mar 2023 1 repository listedInspired by the abundance of publicly available remote sensing projects and the burgeoning development of deep learning in computer vision, our research focuses on assessing fire risk using remote sensing imagery.
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26 Jan 2023 1 repository listedEmpirical results show that the proposed model is effective and practical for remote sensing image scene classification, regardless of whether the source data is available or not.
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4 Aug 2022 1 repository listedFirst, the label co-occurrence graph is obtained according to the statistical information of the data set.
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30 May 2022 1 repository listedIn this letter, we propose a new method, called self-attention-based deep feature fusion (SAFF), to aggregate deep layer features and emphasize the weights of the complex objects of remote sensing scene images for…
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13 Feb 2022 1 repository listedThe multibranch decoder enables land cover classification in a multitask learning setup, performing semantic seg mentation and reconstructing multimodal remote sensing indices, which are selected as representatives of…
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6 Oct 2021 1 repository listedEfficiently implementing remote sensing image classification with high spatial resolution imagery can provide a significant value in Land Use and Land Cover (LULC) classification.
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12 May 2021 1 repository listedThe proposed CCML identifies, ranks and corrects training images with noisy multi-labels through four main modules: 1) discrepancy module; 2) group lasso module; 3) flipping module; and 4) swap module.
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19 Apr 2021 1 repository listedThe task of building footprint segmentation has been well-studied in the context of remote sensing (RS) as it provides valuable information in many aspects, however, difficulties brought by the nature of RS images such…
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14 Apr 2021 1 repository listedWe show that, for the downstream task of remote sensing image classification, using self-supervised pre-training on remote sensing images can give better results than using supervised pre-training on images of natural…
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1 Apr 2021 1 repository listedUsing that, we provide results for several baseline models based on two standard CNN architectures and different input data configurations.
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14 Jan 2021 1 repository listedOn the other hand, the optimization of complex hyperparameters (e.
Syntology lines on 3 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections