Parent Topic: FUZCLUS
Name Prompt Count Type FILE Database File Name 1-64 Char DBIC Database Input Channel List 1-16 Int DBOC Database Output Channel 0-1 Int MASK Area Mask (Window or Bitmap) 0-4 Int NUMCLUS Number of Cluster Centres 0-1 Int SEEDFILE Seed File for Initial Centres 0-64 Char MAXITER Maximum Number of Iterations 0-1 Int MOVETHRS Movement Threshold 0-1 Real SIGGEN Generate Signatures: YES/NO 1-4 Char BACKVAL Background Grey-level Value 0-1 Real NSAM Number of Pixel Values to Sample 0-1 Int REPORT Report Mode: TERM/OFF/filename 0-64 Char
EASI>FILE="filespec"
EASI>DBIC=i,j,k,l,...
EASI>DBOC=j EASI>DBOC= | results not savedDBOC can be equal to DBIC. Only the area under MASK is written to DBOC.
EASI>MASK=xoff,yoff,xsize,ysize | process window
EASI>MASK= | process entire channel
EASI>MASK=b | process only under bitmap
| stored in segment b
EASI>SIGGEN="YES" | generate signatures EASI>SIGGEN="NO" | no signature generated
The time to compute each iteration is proportional to the number of samples used, so using a lot more than the default number of samples can make the clustering process much slower. As well, all the samples are stored in memory, so a large NSAM value can lead to requirements for a lot of memory. With 262144 samples, and five bands of eight bit input data the program would require approximately 1.3MB of memory while with NSAM set to 2000000, it would take 10MB.
EASI>NSAM= | Default to the normal 262144 samples EASI>NSAM=1500000 | Use up to 1500000 sample pixels
EASI>REPORT="filename" EASI>REPORT= | defaults to terminal outputThe following names have special meaning:
EASI>REPORT="TERM" | generates reports on your terminal EASI>REPORT="DISK" | generates reports on file "IMPRPT.LST" EASI>REPORT="OFF" | switches off report generation
Valid Values: x >= 0 Default: 16Specifies the number of clusters (classes) desired.
Valid Values: <filename, up to 64 characters> Default: <none>Specifies the text file from which to read initial seeds. If no filename is given, seeds will be generated diagonally along the n-dimensional histogram.
Valid Values: 0 <= x <= 20 Default: 20Specifies the maximum number of iterations in calculating the cluster mean positions.
Valid Values: 0.0 <= x <= 1.0 Default: 0.01Specifies the movement threshold for the relative change in cluster centroids. If the movement of all cluster centroids is less than MOVETHRS, the program has converged.
Valid Values: x >= 0 Default: <none>Optionally specifies a background grey-level value to be ignored during classification. If this parameter is specified, pixels with the background grey level value will be assigned class 0 (null class).