Co-registration

Co-registration calculates translation, rotation and scale variation between two images and ensures that two images become spatially aligned, so that any feature in the images overlap as well as possible. This block makes use of the imreg_dft python package. Currently, this block can be used with SPOT and Pléiades data.

Supported Workflows

• Pléiades / SPOT Reflectance (Download) -> DIMAP -> GeoTIFF Conversion -> Co-registration
• Pléiades / SPOT Display (Download) -> DIMAP -> GeoTIFF Conversion -> Co-registration
• Pléiades / SPOT Display (Streaming) -> Co-registration

Technical Information

• This block currently supports only 2 input images, whereby the second image is geometrically aligned with the first.
• The input images must have the same size and shape, and be provided in GeoTIFF format.
• Be sure to select an AOI with at least 1 sqkm and using the contains geometric filter.

Example Job Parameters

{
   "up42-coregistration:1":{
   },
   "data-conversion-dimap:1":{
      "ms":true,
      "pan":false,
      "bbox":null,
      "contains":null,
      "intersects":null,
      "clip_to_aoi":false
   },
   "oneatlas-pleiades-fullscene:1":{
      "ids":[
         "DS_PHR1A_202107121140400_FR1_PX_W010N38_0817_03390",
         "DS_PHR1B_201702191128585_FR1_PX_W010N38_0819_02089"
      ],
      "time":"2018-01-01T00:00:00+00:00/2021-12-31T23:59:59+00:00",
      "limit":1,
      "contains":{
         "type":"Polygon",
         "coordinates":[
            [
               [
                  -9.320398,
                  38.685934
               ],
               [
                  -9.332973,
                  38.686125
               ],
               [
                  -9.333386,
                  38.677098
               ],
               [
                  -9.320395,
                  38.676698
               ],
               [
                  -9.320398,
                  38.685934
               ]
            ]
         ]
      },
      "asset_ids":null,
      "time_series":null,
      "max_cloud_cover":100
   }
}