User Manual - pancroma

The parameters are as follows:Computation Method: Defines whether the arithmetic mean or the median is usedto calculate the cluster center.Distance Algorithm: Defines which distance measure is used, as given by thetable:• Euclidean distance• City-block distance• Correlation• Absolute value of the correlation• Uncentered correlation• Absolute uncentered correlationNumber of Clusters: i.e. the number of classes computedNumber of Passes: The number of times clustering is performed. Clustering isperformed the selected number of times, each time starting from a different(random) initial assignment of bands to clusters. The clustering solution with thelowest inside-cluster sum of distances is chosen.IMPORTANT NOTE: Classification requires large internal fp32 data structures.Maximum input band sizes will be limited to less than full scenes. Maximuminput band size 8MB-16MB depending on the number of input bands.Select your run parameters and select ‘OK’. Your specified number of best-fitclasses will be statistically computed and displayed as an RGB image. In somecases the classified RGB image may look very similar to the input RGB image.However the classified image will be composed of one RGB color combinationper class. You can highlight one or more of the classes by selecting the dropdown menu on the RGB image and clicking on a target class. Clicking OK on the280