Automatic georeferencing of drone photos by AI feature matching against a basemap / Georreferenciación automática de fotos de dron con IA.
Georeferences drone photos (JPG/TIF) without manual ground control points. It reads GPS, altitude and heading from EXIF/XMP, renders the basemap around the photo (Esri World Imagery, OpenStreetMap or any raster/WMS/XYZ layer of the project, e.g. your own orthophoto), finds common patterns with SIFT/ORB or deep-learning matchers (DISK+LightGlue, LoFTR) and estimates the transformation with MAGSAC++/RANSAC plus a refinement pass. Outputs a GeoTIFF, a .points file for the QGIS Georeferencer and a footprint layer with quality indicators. Requires OpenCV (the plugin offers to install opencv-python-headless with pip, after asking). The AI matchers additionally need torch and kornia (optional, ~250 MB). User interface in Spanish. | Georreferencia fotos de dron sin puntos de control manuales: lee GPS/altura/rumbo, descarga el mapa base, reconoce patrones con IA y genera GeoTIFF, .points y huellas con indicadores de calidad.
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