Superimpose sensor

Brief Description

Using available image metadata, project one image onto another one

Tags

Geometry, Superimposition

Long Description

This application performs the projection of an image into the geometry of another one.

Parameters

Reference input (inr): The input reference image.
The image to reproject (inm): The image to reproject into the geometry of the reference input.
Elevation management (elev): This group of parameters allows managing elevation values. Supported formats are SRTM, DTED or any geotiff. DownloadSRTMTiles application could be a useful tool to list/download tiles related to a product.
- DEM directory (elev.dem): This parameter allows selecting a directory containing Digital Elevation Model files. Note that this directory should contain only DEM files. Unexpected behaviour might occurs if other images are found in this directory.
- Geoid File (elev.geoid): Use a geoid grid to get the height above the ellipsoid in case there is no DEM available, no coverage for some points or pixels with no_data in the DEM tiles. A version of the geoid can be found on the OTB website(https://gitlab.orfeo-toolbox.org/orfeotoolbox/otb-data/blob/master/Input/DEM/egm96.grd).
- Default elevation (elev.default): This parameter allows setting the default height above ellipsoid when there is no DEM available, no coverage for some points or pixels with no_data in the DEM tiles, and no geoid file has been set. This is also used by some application as an average elevation value.

Spacing of the deformation field (lms): Generate a coarser deformation field with the given spacing
Fill Value (fv): Fill value for area outside the reprojected image
Output image (out): Output reprojected image.
Mode (mode): Superimposition mode
- Default mode (default): Default superimposition mode : uses any projection reference or sensor model found in the images
- Pleiades mode (phr): Pleiades superimposition mode, designed for the case of a P+XS bundle in SENSOR geometry. It uses a simple transform on the XS image : a scaling and a residual translation.

Interpolation (interpolator): This group of parameters allows defining how the input image will be interpolated during resampling.
- Bicubic interpolation (bco): Bicubic interpolation leads to very good image quality but is slow.
  - Radius for bicubic interpolation (interpolator.bco.radius): This parameter allows controlling the size of the bicubic interpolation filter. If the target pixel size is higher than the input pixel size, increasing this parameter will reduce aliasing artifacts.
- Nearest Neighbor interpolation (nn): Nearest neighbor interpolation leads to poor image quality, but it is very fast.
- Linear interpolation (linear): Linear interpolation leads to average image quality but is quite fast

Limitations

None

Authors

OTB-Team