If no ground control points are available, the Ground Control Points Manager must be run before i.rectify. An image must be georeferenced before it can reside in a standard coordinate project, and therefore be analyzed with the other map layers there. Upon completion of i.rectify, the rectified image is deposited in the target standard coordinate project. This project is selected using i.target.
More than one raster map may be rectified at a time. Each cell file should be given a unique output file name. The rectified image or rectified raster maps will be located in the target project when the program is completed. The original unrectified files are not modified or removed.
If the -c flag is used, i.rectify will only rectify that portion of the image or raster map that occurs within the chosen window region in the target project, and only that portion of the cell file will be relocated in the target database. It is important therefore, to check the current mapset window in the target project if the -c flag is used.
If you are rectifying a file with plans to patch it to another file using the GRASS program r.patch, choose option number one, the current window in the target project. This window, however, must be the default window for the target project. When a file being rectified is smaller than the default window in which it is being rectified, NULLs are added to the rectified file. Patching files of the same size that contain NULL data, eliminates the possibility of a no-data line in the patched result. This is because, when the images are patched, the NULLs in the image are "covered" with non-NULL pixel values. When rectifying files that are going to be patched, rectify all of the files using the same default window.
The desired order of transformation (1, 2, or 3) is selected with the order option. The program will calculate the RMSE and check the required number of points.
TPS combines a linear affine transformation with individual transformation coefficients for each GCP, using the radial basis kernel function with the distance dist between any two points:
The rectified data is resampled with one of seven different methods: nearest, bilinear, cubic, lanczos, bilinear_f, cubic_f, or lanczos_f.
The method=nearest method, which performs a nearest neighbor assignment, is the fastest of the resampling methods. It is primarily used for categorical data such as a land use classification, since it will not change the values of the data cells. The method=bilinear method determines the new value of the cell based on a weighted distance average of the 4 surrounding cells in the input map. The method=cubic method determines the new value of the cell based on a weighted distance average of the 16 surrounding cells in the input map. The method=lanczos method determines the new value of the cell based on a weighted distance average of the 25 surrounding cells in the input map.
The bilinear, cubic and lanczos interpolation methods are most appropriate for continuous data and cause some smoothing. These options should not be used with categorical data, since the cell values will be altered.
In the bilinear, cubic and lanczos methods, if any of the surrounding cells used to interpolate the new cell value are NULL, the resulting cell will be NULL, even if the nearest cell is not NULL. This will cause some thinning along NULL borders, such as the coasts of land areas in a DEM. The bilinear_f, cubic_f and lanczos_f interpolation methods can be used if thinning along NULL edges is not desired. These methods "fall back" to simpler interpolation methods along NULL borders. That is, from lanczos to cubic to bilinear to nearest.
If nearest neighbor assignment is used, the output map has the same raster format as the input map. If any of the other interpolations is used, the output map is written as floating point.
m.transform,
r.proj,
v.proj,
i.group,
i.target
Ground Control Points Manager
Modified for GRASS 5.0 by:
Luca Palmeri (palmeri@ux1.unipd.it)
Bill Hughes
Pierre de Mouveaux (pmx@audiovu.com)
CMD mode by Bob Covill
Available at: i.rectify source code (history)
Latest change: Friday Oct 25 16:16:09 2024 in commit: 5b94314a82de7e9c78fd6044659ea9d6c2323edb
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