- Perform standardized or unstandardized Principal Components Analysis.
- Perform a spatial time series analysis procedure based on Standardized Principal Components. Up to 1024 input images can be analyzed as a group with the production of an equal number of resulting components. Loadings graphs are output.
- PANSHARPEN images using a high-resolution panchromatic image to increase the spatial resolution of low-resolution multispectral images. Three transformation techniques are provided: color space transformation, principal component transformation, and local regression transformation.
- Perform texture analysis of an image, including variability, fractal dimension, class frequency and edge analysis using convolution filters.
- Convert LANDSAT TM Band 6 raw data to blackbody temperatures.
- Compute a variety of vegetation indices from remotely sensed imagery.
- Perform the tasseled cap transformation.
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| | IDRISI offers a wide suite of tools for image transformation including principal components analysis, conical components analysis, vegetation indices, and tasseled cap transformations. | |  |
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