Orthorectification Tool

This tool is capable of orthorectifying individual images (or all images) from an existing ODM reconstruction.

Building

Use the build scripts build_release and build_debug to compile natively.

Otherwise you can build the docker image:

docker build -t digipa/orthorectify .

Usage

After running a reconstruction using ODM:

Orthorectify /dataset-path

With docker

docker run -it -v /dataset-path:/dataset digipa/orthorectify /dataset

This will start the orthorectification process for all images in the dataset. See additional flags you can pass at the end of the command above:

This tool is capable of orthorectifying individual images (or all images) from an existing ODM reconstruction.
Usage:
  Orthorectify [OPTION...] positional parameters

  -e, --dem arg               Absolute path to DEM to use to orthorectify
                              images (default: odm_dem/dsm.tif)
      --no-alpha              Don't output an alpha channel
  -i, --interpolation arg     Type of interpolation to use to sample pixel
                              values (nearest, bilinear) (default:
                              bilinear)
  -o, --outdir arg            Output directory where to store results
                              (default: orthorectified)
  -l, --image-list arg        Path to file that contains the list of image
                              filenames to orthorectify. By default all
                              images in a dataset are processed (default:
                              img_list.txt)
      --images arg            Comma-separated list of filenames to rectify.
                              Use as an alternative to --image-list
  -s, --skip-visibility-test  Skip visibility testing (faster but leaves
                              artifacts due to relief displacement)
  -t, --threads arg           Number of threads to use (-1 = all) (default:
                              -1)
  -v, --verbose               Verbose logging
  -h, --help                  Print usage

---

Roadmap

Help us improve this module! We could add:

• Merging of multiple orthorectified images (blending, filtering, seam leveling)
• Faster visibility test
• Different methods for orthorectification (direct)
• GPU Support