ClassifierMAPStrategy.h
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1 /* Copyright (C) 2008 National Institute For Space Research (INPE) - Brazil.
2 
3  This file is part of the TerraLib - a Framework for building GIS enabled applications.
4 
5  TerraLib is free software: you can redistribute it and/or modify
6  it under the terms of the GNU Lesser General Public License as published by
7  the Free Software Foundation, either version 3 of the License,
8  or (at your option) any later version.
9 
10  TerraLib is distributed in the hope that it will be useful,
11  but WITHOUT ANY WARRANTY; without even the implied warranty of
12  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
13  GNU Lesser General Public License for more details.
14 
15  You should have received a copy of the GNU Lesser General Public License
16  along with TerraLib. See COPYING. If not, write to
17  TerraLib Team at <terralib-team@terralib.org>.
18  */
19 
20 /*!
21  \file terralib/rp/ClassifierMAPStrategy.h
22  \brief Maximum a posteriori probability strategy.
23  */
24 
25 #ifndef __TERRALIB_RP_INTERNAL_CLASSIFIERMAPSTRATEGY_H
26 #define __TERRALIB_RP_INTERNAL_CLASSIFIERMAPSTRATEGY_H
27 
28 #include "ClassifierStrategy.h"
30 #include "Config.h"
31 #include "../classification/MAP.h"
32 #include "../classification/Adaptors.h"
33 
34 #include <boost/shared_ptr.hpp>
35 
36 #include <map>
37 #include <vector>
38 
39 namespace te
40 {
41  namespace rp
42  {
43  /*!
44  \class ClassifierMAPStrategy
45 
46  \brief Maximum a posteriori probability strategy.
47 
48  \ingroup rp_class
49  */
51  {
52  public:
53 
54  /*!
55  \class Parameters
56 
57  \brief Classifier Parameters
58  */
60  {
61  public:
62 
63  typedef unsigned int ClassIDT; //!< Class ID type definition (zero means invalid ID).
64 
65  typedef std::vector< double > ClassSampleT; //!< Class sample type definition.
66 
67  typedef std::vector< ClassSampleT > ClassSamplesContainerT; //!< Class samples container type definition.
68 
69  typedef std::map< ClassIDT, ClassSamplesContainerT > MClassesSamplesCT; //!< Multi-classes samples container type definition.
70 
71  typedef boost::shared_ptr<MClassesSamplesCT> MClassesSamplesCTPtr; //!< A shared pointer to a multi classes samples container type definition.
72 
73  MClassesSamplesCTPtr m_trainSamplesPtr; //!< A shared pointer to a always-valid structure where trainning samples are stored.
74 
75  std::vector< double > m_prioriProbs; //!< Priori probabilities, one for each class. Values from 0 to 1 (use an empty vector to allow internal calcule of priori probabilities).
76 
77  unsigned int m_prioriCalcSampleStep; //!< A positive non-zero sample step used when calculating piori probabilities (default:5 - 1/5 of samples will be used);
78 
79  Parameters();
80 
81  ~Parameters();
82 
83  //overload
84  const Parameters& operator=(const Parameters& params);
85 
86  //overload
87  void reset() throw( te::rp::Exception );
88 
89  //overload
90  AbstractParameters* clone() const;
91  };
92 
94 
96 
97  //overload
98  bool initialize(ClassifierStrategyParameters const* const strategyParams) throw(te::rp::Exception);
99 
100  //overload
101  bool execute() throw(te::rp::Exception);
102 
103  unsigned int getOutputNumberBands(void);
104 
105  protected :
106 
107  bool m_isInitialized; //!< Is this instance initialized?
108 
109  Parameters::ClassIDT m_highestTrainClassID; //!< The highest train sample lable.
110 
111  ClassifierMAPStrategy::Parameters m_initParams; //!< Initialization parameters.
112 
113  te::cl::MAP m_genClassInstance; //!< A generir classifier instance.
114 
115  };
116 
117  /*!
118  \class ClassifierMAPStrategyFactory
119 
120  \brief Maximum a posteriori probability strategy factory.
121 
122  \note Factory key: RegionGrowing
123  */
125  {
126  public:
127 
129 
131 
132  //overload
134  };
135 
136  } // end namespace rp
137 } // end namespace te
138 
139 #endif // __TERRALIB_RP_INTERNAL_CLASSIFIERMAPSTRATEGY_H
140 
MClassesSamplesCTPtr m_trainSamplesPtr
A shared pointer to a always-valid structure where trainning samples are stored.
Maximum a posteriori probability strategy factory.
boost::shared_ptr< MClassesSamplesCT > MClassesSamplesCTPtr
A shared pointer to a multi classes samples container type definition.
unsigned int m_prioriCalcSampleStep
A positive non-zero sample step used when calculating piori probabilities (default:5 - 1/5 of samples...
Base exception class for plugin module.
Definition: Exception.h:42
unsigned int ClassIDT
Class ID type definition (zero means invalid ID).
std::vector< double > m_prioriProbs
Priori probabilities, one for each class. Values from 0 to 1 (use an empty vector to allow internal c...
Raster classifier strategy factory base class.
std::map< ClassIDT, ClassSamplesContainerT > MClassesSamplesCT
Multi-classes samples container type definition.
std::vector< double > ClassSampleT
Class sample type definition.
URI C++ Library.
#define TERPEXPORT
You can use this macro in order to export/import classes and functions from this module.
Definition: Config.h:139
Maximum a posteriori probability strategy.
Raster classifier strategy factory base class.
Configuration flags for the Raster Processing module of TerraLib.
Raster classifier strategy base class.
Raster classifier strategy base class.
std::vector< ClassSampleT > ClassSamplesContainerT
Class samples container type definition.