CSR

Description

Generates a report for class signatures.

Parameters

csr(file, dsig)

Name	Type	Caption	Length	Value range
FILE *	str	Input file name	1 -
DSIG *	List[int]	Input class signature segment	1 - 1

* Required parameter

Parameter descriptions

FILE

Specifies the name of the PCIDSK image file that contains the signatures from which to generate a report.

DSIG

Specifies the segment (type 121) of an existing class signature from which to generate a report.

Details

CSR generates a report of the statistical values as calculated for a specified signature segment (DSIG). These values include:

correlation matrix for all selected channels
covariance matrix, determinant of the covariance matrix, inverse covariance matrix, and triangular inverse covariance matrix for all of the selected channels
mean and standard deviation for each selected channel
classification of the gray-level coding VALU for the classified output theme map
Gaussian threshold value, in standard deviation units, for the radius of a hyperellipsoid from class mean
lower and upper distance values, expressed in standard deviation units, of parallelepiped boundaries from channel means
relative "a priori" probability weighting (BIAS)

If reporting is disabled, the generated report is forced to your computer.

Modifications to the segment (type 121) are not provided.

For more information, refer to the CSE help topics.

Example

This example reports on signature 13 of the file SPOT512.

from pci.csr import csr

file	=	"SPOT512"	# input file name
dsig	=	[13]	# input signature segment

csr( file, dsig )

The example produces the following results:

 CSR Classifier Signature Report   
 
SPOT512.PIX;1                   [S  4PIC   512P   512L] 25-OCT-92

13:Water     Type:121 [Signatures ]  Last Update: 13:58 27-OCT-92
Contents: Water bodies with no standing vegetation.
Sample size: 17066   Encoding: 10   Threshold: 2.00    Bias: 1.00

Channel        Mean      Deviation    Lo-Limit    Up-limit

  1       26.363200      48.618023       2.000       2.000
  4       15.795110      11.883088       2.000       2.000
  7       13.198001       7.964044       2.000       2.000

Class Correlation Matrix:       

              1              4              7
  +--------------------------------------------
1 |     1.000000         
4 |     0.432193       1.000000
7 |     0.389244       0.791232       1.000000

Class Covariance Matrix:        

              1              4              7
  +--------------------------------------------
1 |     2363.752
4 |      249.628        141.195
7 |      143.043         74.869         63.418

Determinant of Covariance Matrix:  0.64219640E+07

Inverse Covariance Matrix:      

              1              4              7
  +-------------------------------------------
1 |   0.00052156
4 |  -0.00079734     0.02015624
7 |  -0.00023501    -0.02199711     0.04226732

Triangular Inv-Covar. Matrix:   

              1              4              7
  +-------------------------------------------
1 |   0.02283621
4 |  -0.03492239     0.13761134
7 |  -0.01028018    -0.16245916     0.12557204

Environments	PYTHON :: EASI :: MODELER
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CSR

Class signature reporter

Description

Parameters

Parameter descriptions

Details

Example