Extracting Buildings In Remote Sensing Images

Benchmarks archive 2025-07-28

3 leaderboard tables shown for this task, 3 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

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

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

10 shown of 10 papers with code (14 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.

• Pix2Poly: A Sequence Prediction Method for End-to-end Polygonal Building Footprint Extraction from Remote Sensing Imagery
  10 Dec 2024 1 repository listed
  Extraction of building footprint polygons from remotely sensed data is essential for several urban understanding tasks such as reconstruction, navigation, and mapping.
• PolyR-CNN: R-CNN for end-to-end polygonal building outline extraction
  20 Jul 2024 1 repository listed
  PolyR-CNN demonstrates the capacity to deal with buildings with holes through a simple post-processing method on the Inria dataset.
• Towards Automating the Retrospective Generation of BIM Models: A Unified Framework for 3D Semantic Reconstruction of the Built Environment
  3 Jun 2024 1 repository listed
  The adoption of Building Information Modeling (BIM) is beneficial in construction projects.
• Learning Efficient Unsupervised Satellite Image-based Building Damage Detection
  4 Dec 2023 1 repository listed
  Existing Building Damage Detection (BDD) methods always require labour-intensive pixel-level annotations of buildings and their conditions, hence largely limiting their applications.
• DSAT-Net: Dual Spatial Attention Transformer for Building Extraction from Aerial Images
  16 Aug 2023 1 repository listed
  The local attention path (LAP) uses efficient stripe convolution to generate local attention, which can alleviate the loss of information caused by down-sampling operation in the GAP and supplement the spatial details.
• Building Extraction from Remote Sensing Images via an Uncertainty-Aware Network
  23 Jul 2023 1 repository listed
  Building extraction aims to segment building pixels from remote sensing images and plays an essential role in many applications, such as city planning and urban dynamic monitoring.
• SDSC-UNet: Dual Skip Connection ViT-based U-shaped Model for Building Extraction
  25 Apr 2023 1 repository listed
  Furthermore, unlike the previous single-skip-connection structure of U-shaped methods, we build a novel dual skip connection structure inside the model.
• HEAT: Holistic Edge Attention Transformer for Structured Reconstruction
  30 Nov 2021 1 repository listed
  This paper presents a novel attention-based neural network for structured reconstruction, which takes a 2D raster image as an input and reconstructs a planar graph depicting an underlying geometric structure.
• Building Extraction from Remote Sensing Images with Sparse Token Transformers
  5 Nov 2021 1 repository listed
  Deep learning methods have achieved considerable progress in remote sensing image building extraction.
• BDANet: Multiscale Convolutional Neural Network with Cross-directional Attention for Building Damage Assessment from Satellite Images
  16 May 2021 1 repository listed
  With a pair of pre- and post-disaster satellite images, building damage assessment aims at predicting the extent of damage to buildings.