Label | Explanation | Data Type |

Input raster bands | The input raster bands. While the bands can be integer or floating point type, the signature file only allows integer class values. | Raster Layer |

Input signature file | The input signature file whose class signatures are used by the maximum likelihood classifier. A .gsg extension is required. | File |

Reject fraction (Optional) | Select a reject fraction, which determines whether a cell will be classified based on its likelihood of being correctly assigned to one of the classes. Cells whose likelihood of being correctly assigned to any of the classes is lower than the reject fraction will be given a value of NoData in the output classified raster. The default value is 0.0, which means that every cell will be classified. Valid entries are: - 0.0— The rejection fraction is 0.0
- 0.005— The rejection fraction is 0.005
- 0.01— The rejection fraction is 0.01
- 0.025— The rejection fraction is 0.025
- 0.05— The rejection fraction is 0.05
- 0.1— The rejection fraction is 0.1
- 0.25— The rejection fraction is 0.25
- 0.5— The rejection fraction is 0.5
- 0.75— The rejection fraction is 0.75
- 0.9— The rejection fraction is 0.9
- 0.95— The rejection fraction is 0.95
- 0.975— The rejection fraction is 0.975
- 0.99— The rejection fraction is 0.99
- 0.995— The rejection fraction is 0.995
| String |

A priori probability weighting (Optional) | Specifies how a priori probabilities will be determined. - Equal—All classes will have the same a priori probability.
- Sample—A priori probabilities will be proportional to the number of cells in each class relative to the total number of cells sampled in all classes in the signature file.
- File—The a priori probabilities will be assigned to each class from an input ASCII a priori probability file.
| String |

Input a priori probability file (Optional) | A text file containing a priori probabilities for the input signature classes. An input for the a priori probability file is only required when the File option is used. The extension for the a priori file can be .txt or .asc. | File |

Output confidence raster (Optional) | The output confidence raster dataset shows the certainty of the classification in 14 levels of confidence, with the lowest values representing the highest reliability. If there are no cells classified at a particular confidence level, that confidence level will not be present in the output confidence raster. It will be of integer type. | Raster Dataset |

### Return Value

Label | Explanation | Data Type |

Output classified raster | The output classified raster. It will be of integer type. | Raster |