Directory: CHAPTER7\ENVIClassicExtensions\
.pro files
- ct_run.pro
ENVI extension to determine contingency table (confusion matrix) and classification accuracies from test classifcation results: Richards, J.
- ffn3__define.pro
- ffn3ab_run.pro
ENVI extension for classification of a multispectral image with a 3-layer feed forward neural network trained with Kalman filter and using adaptive boosting AdaBoost.M1: Canty, M.
- ffn3kal__define.pro
Object class for implementation of a three-layer, feed-forward neural network for classification of multi-spectral images with AdaBoost.M1 or .M2 boosting
- krx_run.pro
Performs kernel RX anomaly detection using a Gaussian kernel: Kwon et al (2005). Kernel RX-algorithm: A nonlinear anomaly detector for hyperspectral imagery.
- maxlikeSAR_run.pro
ENVI extension for classification of a polarimetric SAR image with maximum likelihood with option for reserving a random sample of training data for subsequent evaluation
- mcnemar_run.pro
ENVI extension to compare classifiers on the basis of misclassifications using McNemar's statistic: Dietterich, T.
- plr_reclass_run.pro
ENVI extension for postclassification with Probabilistic Label Relaxation Processes a rule image (class membership probabilities), outputs a new classification file
- plr_run.pro
ENVI extension for postclassification with Probabilistic Label Relaxation.