Building Facade Damage Maps Generated from Drone Imagery and Photogrammetry

A methodology for generating damage maps from orthoimages of building facades captured by UAVs. The study applied dense stereo matching and the Tyche (2015) software to map and quantify staining defects, with results also classified qualitatively. The work was authored by Carlos Mariano Melo Júnior and is available via the paperswithcode platform.

Use Cases

• Automating visual inspection for building maintenance based on orthoimages of facades.
• Quantifying the percentage of staining defects on building surfaces based on the described mapping methodology.
• Classifying damage severity qualitatively based on the generated damage maps.
• Evaluating UAVs as a tool for facade inspection and image capture for dense stereo matching.

Strengths

• Methodology is described in detail, including the use of UAVs, PhotoScan for point clouds, and Tyche (2015) software for damage mapping.
• Results include both quantitative (percentage) and qualitative classification of damage.
• The dataset is associated with a research paper, providing methodological context.

Limitations

• Row count, file formats, and column-level documentation are unknown, limiting suitability assessment.
• Last update date is unknown; freshness unverified.
• The description suggests user interaction was important for results, which may limit full automation.

Provenance

Source

paperswithcode

Collection Method

Images captured by UAVs, processed with dense stereo matching in PhotoScan to create orthoimages, then analyzed with Tyche (2015) software.