/usr/include/OTB-5.8/otbPeriodicSOM.txx is in libotb-dev 5.8.0+dfsg-3.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 | /*=========================================================================
Program: ORFEO Toolbox
Language: C++
Date: $Date$
Version: $Revision$
Copyright (c) Centre National d'Etudes Spatiales. All rights reserved.
See OTBCopyright.txt for details.
Copyright (c) Institut Telecom; Telecom bretagne. All rights reserved.
See IMTCopyright.txt for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
#ifndef otbPeriodicSOM_txx
#define otbPeriodicSOM_txx
#include "itkNumericTraits.h"
#include "itkNeighborhoodIterator.h"
#include "otbPeriodicSOM.h"
namespace otb
{
/**
* Update the output map with a new sample.
* \param sample The new sample to learn,
* \param beta The learning coefficient,
* \param radius The radius of the neighbourhood.
*/
template <class TListSample, class TMap,
class TSOMLearningBehaviorFunctor,
class TSOMNeighborhoodBehaviorFunctor>
void
PeriodicSOM<TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor>
::UpdateMap(const NeuronType& sample, double beta, SizeType& radius)
{
unsigned int i, j;
// output map pointer
MapPointerType map = this->GetOutput(0);
// winner index in the map
IndexType position = map->GetWinner(sample);
NeuronType winner = map->GetPixel(position);
// Local neighborhood definition
typedef typename MapType::Superclass ImageMapType;
typedef itk::NeighborhoodIterator<ImageMapType> NeighborhoodIteratorType;
typename MapType::RegionType mapRegion = map->GetLargestPossibleRegion();
NeighborhoodIteratorType it(radius, map, mapRegion);
// Here, the periodic update is achieved 'by hand' since
// PeriodicBoundaryCondition does not allow modifying
// VectorImage contents
SizeType mapSize = mapRegion.GetSize();
IndexType positionToUpdate;
// Iterate over the neighborhood ot the winner neuron
it.SetLocation(position);
for (i = 0; i < it.Size(); ++i)
{
typename NeighborhoodIteratorType::OffsetType offset = it.GetOffset(i);
// The neighborhood is of elliptic shape
double theDistance = itk::NumericTraits<double>::Zero;
for (j = 0; j < MapType::ImageDimension; ++j)
theDistance += pow(static_cast<double>(offset[j]), 2.0)
/ pow(static_cast<double>(radius[j]), 2.0);
if (theDistance <= 1.0)
{
for (j = 0; j < MapType::ImageDimension; ++j)
{
int pos = offset[j] + position[j];
positionToUpdate[j] = (pos >= 0) ?
pos % mapSize[j] :
(mapSize[j] - ((-pos) % mapSize[j])) % mapSize[j];
}
NeuronType tempNeuron = it.GetPixel(i);
// NeuronType newNeuron ( tempNeuron.Size() );
// newNeuron.Fill( 0.0 ); // FIXME
NeuronType newNeuron(tempNeuron);
double tempBeta = beta / (1.0 + theDistance);
for (j = 0; j < newNeuron.Size(); ++j)
{
newNeuron[j] += static_cast<typename NeuronType::ValueType>(
(sample[j] - tempNeuron[j]) * tempBeta);
}
map->SetPixel(positionToUpdate, newNeuron);
}
}
}
} // end of namespace otb
#endif
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