Aerial Image Annotation

Aerial image annotation labels imagery captured from aircraft, satellites, or high-altitude UAVs so that AI models can learn to detect, classify, and analyze objects and features in overhead imagery. It includes building footprint extraction, road network and transportation infrastructure mapping, vegetation and land cover classification, vehicle and vessel detection, facility and infrastructure annotation, and change detection between multi-temporal images of the same area. Aerial image annotation is used in defense and intelligence, urban planning, environmental monitoring, agriculture, and emergency response applications.

The primary challenge is that the overhead perspective makes objects appear differently from their standard views in ground-level photographs. A vehicle seen from directly above shows only its roof, making make and model identification depend on roof shape and color rather than the full profile. A building seen from above shows only the roof structure and footprint, making type identification depend on roof form, arrangement, and context. For defense applications, target identification from satellite or aerial imagery requires specialized training that takes years for human analysts to develop. Annotation guidelines must explicitly define what each class looks like from overhead perspective and provide worked examples at multiple altitudes and resolutions.

Aerial annotation uses geospatial formats that preserve coordinate accuracy. GeoJSON is the standard for vector annotations of detected objects or geographic features. GeoTIFF with associated label rasters is standard for semantic segmentation of aerial scenes. COCO JSON adapted for satellite imagery is used for object detection benchmarks. Shapefile (SHP) format is common in GIS workflows. For change detection, temporally paired GeoTIFF images with change masks are standard. All formats must include proper coordinate reference systems (CRS) and projection information, since the primary value of aerial data is its geographic accuracy. DataVLab delivers aerial annotation with validated CRS alignment and geographic accuracy.

Aerial annotation for defense and intelligence applications classifies military and dual-use objects in overhead imagery. This includes vehicle identification (military vehicles, civilian vehicles in military contexts), facility analysis (factory, storage, launch facility, command post), activity detection (construction, loading, mobilization), naval vessel identification, and change detection for facility monitoring. Defense aerial annotation requires annotators with intelligence analysis training, security clearances appropriate to the classification level, controlled processing environments, and annotation schemas aligned with intelligence community standards. DataVLab works with European defense programs on aerial annotation under appropriate sovereignty and classification requirements.

Commercial satellite imagery used for AI training raises legal and regulatory considerations. Imagery acquired over certain countries or facilities may require export control compliance. In Europe, GDPR applies to satellite imagery that captures identifiable individuals at sufficient resolution. For urban monitoring applications, privacy impact assessments are appropriate for systematic satellite surveillance. DataVLab advises on these considerations for aerial annotation projects and implements appropriate data handling protocols for European programs where regulatory compliance is required.

DataVLab provides aerial image annotation for defense and intelligence, environmental monitoring, urban planning, infrastructure management, disaster response, and commercial Earth observation applications. We annotate RGB, multispectral, hyperspectral, SAR, and panchromatic imagery at resolutions from centimeter (drone/aircraft) to meter (satellite). Services include object detection, semantic segmentation, building footprint extraction, road network mapping, change detection, and vegetation analysis. EU-based annotation teams are available for programs with sovereignty, GDPR, or defense classification requirements.