STRING - Input data sets used by stats. If input data is in MSS format then only one data set is required. Otherwise there must be one data set per spectral band examined.
STRING - Output data sets used by STATS. First data set will contain the
statistics output. The second output data set (optional) will contain
the input picture with training areas scribed. (If scribing is requested
and their is only one output file, the output file is assumed to be the
scribed image, and no statistics output file is generated.)
The statistics output file is a classification statistics file (statistics
data set). Each record (excluding labels) in a classification statistics file
contains statistics for a particular class of pixels. The statistics are
derived from the multispectral (multi-channel) data. The size of records in
the file is based on the number of channels (bands). If 'N' is used to denote
the number of channels, then each record contains the following data in the
order shown.
* 2 words (8 bytes) of class name in character (ASCII) format. This
takes the form 'CLASSnnn' where nnn is the class number.
(nnn is left-justified with trailing blanks.)
* N words for mean values for this class for each of the N channels.
Each mean value is stored in REAL*4 format.
* 1 word, stored in INTEGER*4 format, containing the number of pixels
in this class.
* N*(N+1)/2 words containing the variances and covariances for the N
channels for this class. Each variance and covariance is stored in
REAL*4 format.
The VICAR system label contains the number of records in the number of lines
field and the number of bytes per record in the number of samples field.
INTEGER - Standard Vicar size field (Not used - can be defaulted).
INTEGER - Denotes that input data is in MSS format and contains the supplied number of spectral bands.
INTEGER - Specifies which MSS format bands are to be used as input (The default is for all bands specified by the MSS parameter). Syntax is: BAND = (b1,...) where b1,... is a list of bands.
INTEGER - Denotes that the outline will be the given DN in scribing the training areas. The default is to use 0 or 255 depending on which contrasts better with the image.
the training classes scribed on the image.
INTEGER - Denotes that histograms of the training classes from the specified bands are to be printed on the line printer. If the value of 0 is used, histograms for all bands are printed. Syntax is: HIST = (b1,...) where b1,... is a list of bands. The histogram output uses vertical bars to show the number of pixels in the DN bins. The bars are made of a column of * symbols with a number (or other symbol) on top. The number of pixels represented by each * is shown at the top of the histogram. The number on top of a column is an additional number of pixels in the bin beyond those represented by *s. The letters A through Z are used to represent the values 10 through 35, respectively. The $ symbol represents a value greater than 35.
INTEGER - Denotes that a spectral plot of training classes from the given bands is to be printed. If the value of 0 is used, all the bands are included. Syntax is: SPEC = (b1,...) where b1,... is a list of bands.
INTEGER - Limits spectral plots to the specified classes (default is that all classes are included). Syntax is: SPLOT = (c1,...) where c1,... is a list of classes.
INTEGER - Ignore any pixel which has the same DN value as one specified. There is a maximum of 10 DN values that can be specified. Syntax is: EXCLUDE = (d1,...) where d1,... is a list of DNs.
KEYWORD - Controls the printing of means, standard deviations, covariance matrices, and training area coordinates on the line printer (default is to PRINT this information).
INTEGER - Specifies which training areas defined by the CLASSx keyword are to be read in the vertices format. The training areas for the classes may be specified either in rectangular or vertices format. stats no longer allows some training fields in a given training area to be in vertices format and some to be in rectangular format. Rectangular format is the default and is thus not specified explicitly. The RECT parameter (which was present in the IBM version of stats), for expliciltly specifying rectangular format, is no longer used. The VERT parameter is used to list any and every class using the vertices format.
Actual keyword is of the form CLASSx where x is a number from 1 to 50. The number defines which class number this training set belongs. e.g. CLASS69 SL,SS,NL,NS or CLASS32 L1,S1,L2,S2,... See CLASSx for a more complete definition.
INTEGER - Denotes the training area information in either rectangular or
vertices formats (default is rectangular). Rectangular coordinates are
of the form: SL,SS,NL,NS SL,SS,NL,NS ... (the standard Vicar size field)
while vertices format is of the form: L1,S1,L2,S2,... etc. The range of values
for 'x' is from 1 to 50 such that the valid keywords would be of the form:
CLASS1, ... CLASS50.
The training area for the class is composed of one or more training fields.
Each training field is a closed region of the image. The format must be
the same for all fields within a class. In rectangular format the training
fields are defined by starting line, starting sample, number of lines,
and number of samples.
In vertices format, only the vertices (line number and sample number) of an
irregular area need be stated. The program interpolates between each vertex to
determine the perimeter of the training field. Several rules must be adhered
to in using the vertices format:
1) The first vertex entered must be the topmost point of the area; that is,
the lowest line number.
2) The vertices must follw in a clockwise order.
3) The last vertex must be the same as the first; that is, close the area
for each training field.
The maximum size for any training field, whether rectangular or vertices,
is 600 lines by 600 samples.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
CINTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.
INTEGER - See CLASSx for a proper definition.