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dronemosaic's Introduction

Orthophoto map based on drone images

Pipeline

polygons.py is used to adjust images taking into account the orientation of the drone at the time of shooting, and calculates the coordinates of the image boundaries.

Example of an input image with telemetry data:

Telemetry data

lat lon roll pitch yaw alt
62.5462 150.8463 -1.12 7.93 -69.82 542.0640

Image

1720183985544

Processing result:

Border coordinates

ulx uly lrx lry
150.8406 62.5480 150.8519 62.5444

Converted image

1720184447954

stitch.py performs stitching of multiple images based on boundary coordinate data.

Orthomosaic examples

30 images

1720170550865

197 images

1720174312488

stitch_cv.py builds a mosaic of images using computer vision algorithms to find correspondences between key points in the images.

Orthomosaic examples

30 images

1720174502388

75 images

1720175111278

Sources

  1. https://github.com/davidraleigh/dronedeploy
  2. https://github.com/adityajain07/Drone-Images-Mosaicing

dronemosaic's People

Contributors

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