Image analysis

Menu choice with active map window with an image.

  • Open multi-grids for raster analysis to perform statistics on satellite imagery, it must be converted to grids and loaded into memory.  If these have not been created, they will be created and saved; thereafter, loading should be very fast.
    • All bands: all Landsat bands except panchromatic band 8, or Sentinel-2.  For Sentinel-2 the first time this will be slow, as all bands must be interpolated to 10 m resolution.
    • VIS and NIR surface bands: Landsat bands except for panchromatic band 8, the TIR bands, and the cirrus band.
  • Multi-grids raster analysis
  • Create difference index, band ratio, new band (Filter, ratio, etc.)
  • Add RGB windows
  • Satellite histograms: graph of DN versus the number of pixels with that DN.
  • Dilate/erode image
  • Line detection (Hough transform)
  • Optimum index factor: OIF uses total variance within bands and correlation coefficient between bands,.  It will compute all possible  3-band combinations. The combinations with high total variance within bands and low correlations between bands will have high OIF.  These combinations should have the maximum extractable  information since they use bands with the least redundancy in the remotely sensed data.
  • Spectral library graph
  • Create DBF table from image--currently limited to the number of points that can be used for cluster analysis.  The table will cover the current map area, and subsample so that the number of points will be less than allowed by clustering.
  • Image negative--displays the image in negative format (color composites can look very surreal).  Repeated selections toggle this on/off.
  • Metadata
  • External tools
  • Quick classification
  • Experimental options
  • 3D view with two DEMs


Missing options:

Last revision 10/21/2021