- Resample data in one grid system to a different grid system covering the same area. The process uses polynomial equations to establish a rubber sheet transformation. Linear, quadratic and cubic mappings between the grids are provided, along with nearest-neighbor and bilinear interpolations. Vector files can also be transformed.
- Rectify images that have embedded in them a grid of control points with precise known locations.
- Mosaic and color-match adjacent overlapping images.
- Remove band striping due to variable detector output.
- Convert raw values to calibrated radiances for LANDSAT images.
- Atmospherically correct images using one of four correction models.
- Composite time series NDVI images using maximum value or quadratic mean procedures.
- Deselect high noise bands from a hyperspectral series based on an autocorrelation threshold.
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| IDRISI supports a variety of image restoration and transformation tools. In this image, the module ATMOSC is used for atmospheric correction.
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| IDRISI supports automatic mosaicing of imagery. In this image, greylevel matching is used to mosaic three separate bands of imagery.
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