TNT Feature Mapping Highlights:

• Utilize any number of processing rasters
  Identify sample cells using point and/or polygon tool

• Employ dimensional reduction techniques, such as computing vegetation indices and calculating principal components, to minimize number of processing rasters and processing time

• Identify prototype features using range defined by or exact match to selected sample cells

• Generate report with statistics for all marked features

• Protect areas from being classified/misclassified

• Mark features individually, using polygon, or Mark All

• Automatic prompting to save any unsaved objects on exit

• Define region-of-interest for classification purposes

• Ability to draw features and prototypes directly

• Classify imagery unsuitable for automatic classification

• Use hyperspectral imagery

• Apply optional hole filling when marking features

• Optionally view sample cell ranges with values of pixel under cursor outside current range shown in red

• Use auto-boundary tracing to convert marked features to vector polygons

• Automatically transfer style object for feature classes to vector polygons when convert

• Switch between marking and unmarking using Control key 

• Cell size calibration available for ungeoreferenced images 

• Assign raster areas to different categories for report specifics