Man pages for joaofgoncalves/SegOptim
Optimization of Image Segmentation Parameters for Object-Based Image Analysis (OBIA)
| adjustRangesFromCentralPoint | Adjust parameter ranges |
| aggregateMultiStats | Aggregate data by segment ID |
| aucSingleClass | Calculate the Area Under the ROC Curve (AUC) |
| balanceMulticlassData | Balance multi-class data |
| calcDiscrepancyMeasure_ED2 | Calculate ED2 segmentation discrepancy measure |
| calcStats | Ancillary function used in getTrainData_ |
| calcStatsFinish | Ancillary function used in getTrainData_ for final processing... |
| calcStatsStart | Ancillary function used in getTrainData_ for initial... |
| calculateNDIcombinations | Calculate Normalized Difference Index (NDI) combinations |
| calculateSegmentStats | Calculate segment statistics for multiple raster features and... |
| calibrateClassifier | Train and evaluate a classification algorithm |
| checkEvalFun | Check a custom performance evaluation function |
| checkPrintSegmentationParams | Check and print segmentation parameters |
| chunk2 | Split a vector into n chunks |
| classificationAlgorithms | Get classification algorithm codes |
| classifierParameters | Get the evaluation methods names |
| clusteringRaster | Perform clustering on a SpatRaster object and calculate... |
| convertToSAGA | Convert files to SAGA raster format |
| createDataSplits | Create a data split for classification evaluation |
| createRasterTiles | Create a raster tiles object |
| dataBalancing | Perform data balancing |
| dataBalancingMethods | Classification algorithm codes |
| doCleanUpActions | Perform clean-up actions |
| doInputVerification | Checks if input parameters are valid |
| drawRandom | Draw a random value for a given parameter |
| evalPerformanceClassifier | A function for calculating performance metrics for... |
| evalPerformanceGeneric | A generic function for calculating performance metrics |
| evaluatePerformance | Calculates several performance statistics |
| evaluationMethods | Get data balancing options |
| evaluationMetrics_multiClass | Get evaluation metrics (multi-class) |
| evaluationMetrics_singleClass | Get evaluation metrics (single-class) |
| f2int | Factor to integer conversion |
| fitFuncGeneric | Fitness function used in genetic, random and grid search... |
| gaOptimizeSegmentationParams | Optimization of segmentation parameters using genetic... |
| generateConfusionMatrix | Generate a confusion matrix |
| generateDefaultClassifierParams | Generates default parameters for classification algorithms |
| generateFormula | Generate formula |
| GerritySkillScore | Calculate the Gerrity Skill score |
| getPythonFile | Find python scripts location |
| getTrainData | Generate supervised training data for classification |
| getTrainData_ | Generate supervised training data for classification |
| getTrainRasterSegments | Generate a raster data set with train segments |
| gssSingleClass | Calculate the maximum Gerrity skill score |
| importToGRASS | Import files to GRASS GIS |
| iterateFitnessFunc | Iterate the fitness function |
| kappaSingleClass | Calculate the maximum Cohen Kappa index |
| modal_value | Modal value |
| NRV.omit | Remove NA values |
| numSampPerStrata | Determine and (randomly) adjust the number of samples per... |
| outputSOptimCalData | Basic output functions for SOptim.CalData calibration data... |
| predict.knn | Predict k-nearest neighbour output |
| predictSegments | Predict class labels for image segments |
| prepareCalData | Prepare calibration data for running a classification... |
| print.SOptim.ClassifierSummary | Print classification summary |
| pssSingleClass | Calculate the maximum Peirce skill score (true skill... |
| randomSearchOptim | Perform random search optimization |
| randString | Generate a random string |
| readDataByTile | Read raster data for a certain tile |
| repBSlash | Replace backslash |
| replaceDefaultClassificationParams | Replace classification parameters |
| searchOptimSegmentationParams | Perform grid or random search optimization of... |
| segmentation_ArcGIS_MShift | ArcGIS Mean Shift segmentation algorithm |
| segmentationGeneric | A generic dispatcher/wrapper function for running multiple... |
| segmentation_GRASS_RG | GRASS Region Growing image segmentation |
| segmentationMethods | Get segmentation algorithm codes |
| segmentation_OTB_LSMS | Large Scale Mean Shift segmentation algorithm from Orfeo... |
| segmentation_OTB_LSMS2 | Large Scale Mean Shift segmentation algorithm from Orfeo... |
| segmentationParamNames | Names of segmentation parameters that will be optimized |
| segmentation_RSGISLib_Shep | Shepherd segmentation algorithm from RSGISLib |
| segmentation_SAGA_SRG | SAGA Seeded Region Growing segmentation algorithm |
| segmentation_Terralib_Baatz | TerraLib Baatz-Shcape segmentation algorithm |
| segmentation_Terralib_MRGrow | TerraLib Mean Region Growing segmentation algorithm |
| SegOptim-package | Optimization of Image Segmentation Parameters for... |
| simRasterFeatures | Simulate raster features |
| simRasterSegments2 | Simulate raster segments (faster version) |
| simRasterTrain | Simulate raster train data |
| StRS | Performs Stratified Random Sampling |
| summary.SOptim.Classifier | Summary for SOptim.Classifier objects |
| zonalDT | Calculate aggregated statistics by each image segment or... |
