26 #ifndef __TERRALIB_QT_WIDGETS_RP_INTERNAL_CLASSIFIERWIZARDPAGE_H
27 #define __TERRALIB_QT_WIDGETS_RP_INTERNAL_CLASSIFIERWIZARDPAGE_H
30 #include "../../../classification/ROISet.h"
32 #include "../../../geometry/Polygon.h"
33 #include "../../../maptools/AbstractLayer.h"
34 #include "../../../raster/Raster.h"
35 #include "../../../rp/Classifier.h"
36 #include "../../../rp/ClassifierMAPStrategy.h"
37 #include "../../../rp/ClassifierEDStrategy.h"
38 #include "../../../rp/ClassifierSAMStrategy.h"
39 #include "../../../qt/widgets/canvas/MapDisplay.h"
41 #include "../Config.h"
47 #include <QWizardPage>
48 #include <QTableWidget>
49 #include <QActionGroup>
52 namespace Ui {
class ClassifierWizardPageForm; }
61 class ROIManagerDialog;
107 void setList(std::list<te::map::AbstractLayerPtr>& layerList);
157 std::unique_ptr<Ui::ClassifierWizardPageForm>
m_ui;
A ROISet is a set of ROI's.
A region of interest (often abbreviated ROI), is a selected subset of samples within a dataset identi...
This class is GUI used to define the classifier parameters for the RP constast operation.
void onROIManagerClosed(te::cl::ROISet *rs)
std::unique_ptr< Ui::ClassifierWizardPageForm > m_ui
void setList(std::list< te::map::AbstractLayerPtr > &layerList)
ClassifierWizardPage(QWidget *parent=0)
void set(te::map::AbstractLayerPtr layer)
This method is used to set the selected layer for classifier operation.
void onMapDisplayExtentChanged()
void fillClassifierTypes()
void fillUIDefaultParameters()
te::rp::Classifier::OutputParameters getOutputParams()
te::rp::ClassifierMAPStrategy::Parameters::MClassesSamplesCTPtr getMAPSamples(te::cl::ROISet *rs, te::rst::Raster *raster)
void setActionGroup(QActionGroup *actionGroup)
void showROIManager(bool show)
te::rp::ClassifierSAMStrategy::ClassesSamplesTPtr getSAMSamples(te::cl::ROISet *rs, te::rst::Raster *raster)
std::unique_ptr< te::qt::widgets::ROIManagerDialog > m_roiMngDlg
void onChangeClassifier(int index)
@ CLASSIFIER_MAXLIKELIHOOD
te::rp::ClassifierMAPStrategy::Parameters::MClassesSamplesCTPtr getMaxLikelihoodSamples(te::cl::ROISet *rs, te::rst::Raster *raster)
void setMapDisplay(te::qt::widgets::MapDisplay *mapDisplay)
te::rp::ClassifierEDStrategy::Parameters::MClassesSamplesCTPtr getEDSamples(te::cl::ROISet *rs, te::rst::Raster *raster)
void fillSAMTable(te::cl::ROI *roi)
void fillMAPTable(te::cl::ROI *roi)
void fillMaxLikelihoodTable(te::cl::ROI *roi)
te::map::AbstractLayerPtr m_layer
te::cl::ROISet * getROISet()
te::rp::Classifier::InputParameters getInputParams()
void fillEDTable(te::cl::ROI *roi)
boost::shared_ptr< MClassesSamplesCT > MClassesSamplesCTPtr
A shared pointer to a multi classes samples container type definition.
boost::shared_ptr< MClassesSamplesCT > MClassesSamplesCTPtr
A shared pointer to a multi classes samples container type definition.
boost::shared_ptr< ClassesSamplesT > ClassesSamplesTPtr
A shared pointer to a multi classes samples container type definition.
Classifier output parameters.
An abstract class for raster data strucutures.
boost::intrusive_ptr< AbstractLayer > AbstractLayerPtr