Lab 9: Unsupervised Classification

GIS 4035

 

 

In Lab 9 we let the computer do some of the work.  Unsupervised Classification was my introduction to automated classification of an image based off of different spatial and spectral resolutions.  There was a little manual work to be done, but overall the program assisted greatly.  I was able to use both ArcGIS as well as ERDAS to reclassify and code images simply based off of the pixel colors and grouping like pixels together. 

 

In ArcMap I utilized tools like Maximum Likelihood Classification tool, and the Iso Cluster tool, while in ERDAS I utilized tools such as Unsupervised Classification found in the Raster tab, Classification group.

 

Ultimately using the tools provided I was able to generate the map above which shows each Class by name, and from this I was able to calculate the total Permeable and Impermeable surfaces.