The Semantic Segmentation Of Remote Sensing Imagery

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 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.

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

6 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

11 shown of 11 papers with code (11 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.

• Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery
  19 Nov 2020 2 repositories listed
  However, general semantic segmentation methods mainly focus on scale variation in the natural scene, with inadequate consideration of the other two problems that usually happen in the large area earth observation scene.
• Lake Ice Monitoring with Webcams and Crowd-Sourced Images
  18 Feb 2020 2 repositories listed
  On average, it achieves intersection-over-union (IoU) values of ~71% across different cameras and ~69% across different winters, greatly outperforming prior work.
• UNetMamba: An Efficient UNet-Like Mamba for Semantic Segmentation of High-Resolution Remote Sensing Images
  21 Aug 2024 1 repository listed
  Semantic segmentation of high-resolution remote sensing images is vital in downstream applications such as land-cover mapping, urban planning and disaster assessment.
• DeepMAO: Deep Multi-scale Aware Overcomplete Network for Building Segmentation in Satellite Imagery
  14 Aug 2023 1 repository listed
  Experimental results on SpaceNet 6 dataset, on both EO and SAR modalities, and the INRIA dataset show that DeepMAO achieves state-of-the-art building segmentation performance, including small and complex-shaped…
• FarSeg++: Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery
  13 Jul 2023 1 repository listed
  Generic semantic segmentation methods mainly focus on the scale variation in natural scenarios.
• Enabling Country-Scale Land Cover Mapping with Meter-Resolution Satellite Imagery
  1 Sep 2022 1 repository listed Syntology ran 0 of 7 samples · 7 unverified
  To validate the generalizability of our dataset and the proposed approach across different sensors and different geographical regions, we carry out land cover mapping on five megacities in China and six cities in other…
• Photi-LakeIce Dataset
  18 Feb 2020 1 repository listed
  On average, it achieves intersection-over-union (IoU) values of ~71% across different cameras and ~69% across different winters, greatly outperforming prior work.
• Lake Ice Detection from Sentinel-1 SAR with Deep Learning
  17 Feb 2020 1 repository listed
  Lake ice, as part of the Essential Climate Variable (ECV) lakes, is an important indicator to monitor climate change and global warming.
• LAKE ICE MONITORING WITH WEBCAMS
  28 May 2018 1 repository listed
  Continuous monitoring of climate indicators is important for understanding the dynamics and trends of the climate system.
• EarthMapper: A Tool Box for the Semantic Segmentation of Remote Sensing Imagery
  1 Apr 2018 1 repository listed
  Deep learning continues to push state-of-the-art performance for the semantic segmentation of color (i.
• Low-Shot Learning for the Semantic Segmentation of Remote Sensing Imagery
  26 Mar 2018 1 repository listed
  These low-shot learning frameworks will reduce the manual image annotation burden and improve semantic segmentation performance for remote sensing imagery.

Syntology lines on 1 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.