|
Isis Developer Reference
|
Go to the documentation of this file. 1 #ifndef OverlapNormalization_h
2 #define OverlapNormalization_h
94 const Statistics &area2,
const unsigned index2,
104 m_idHoldList.push_back(holdIndex);
141 double Average(
const unsigned index)
const;
142 double Gain(
const unsigned index)
const;
143 double Offset(
const unsigned index)
const;
145 double Evaluate(
double dn,
unsigned index)
const;
152 std::vector<Statistics *> m_statsList;
158 std::vector<int> m_idHoldList;
198 std::vector<Overlap> m_overlapList;
204 std::vector<double> m_deltas;
209 std::vector<double> m_weights;
226 std::vector<double> m_gains;
231 std::vector<double> m_offsets;
237 BasisFunction *m_gainFunction;
242 BasisFunction *m_offsetFunction;
247 LeastSquares *m_gainLsq;
252 LeastSquares *m_offsetLsq;
@ Gains
Calculate only the gains.
Definition: OverlapNormalization.h:116
This class is used to accumulate statistics on double arrays.
Definition: Statistics.h:94
SolutionType
Enumeration for whether user/programmer wants to calculate new gains, offsets, or both when solving.
Definition: OverlapNormalization.h:111
Functor for reduce using average functionality.
Definition: Reduce.h:107
Generic linear equation class.
Definition: BasisFunction.h:48
@ NoContrast
One or both areas contain no valid average.
Definition: OverlapNormalization.h:90
double Offset(const unsigned index) const
Returns the calculated offset (base) for the given data set.
Definition: OverlapNormalization.cpp:335
OverlapNormalization(std::vector< Statistics * > statsList)
Constructs an OverlapNormalization object.
Definition: OverlapNormalization.cpp:29
BigInt ValidPixels() const
Returns the total number of valid pixels processed.
Definition: Statistics.cpp:433
@ Offsets
Calculate only the offsets.
Definition: OverlapNormalization.h:121
SolveMethod
Definition: LeastSquares.h:112
bool IsSpecial(const double d)
Returns if the input pixel is special.
Definition: SpecialPixel.h:197
Generic least square fitting class.
Definition: LeastSquares.h:99
#define _FILEINFO_
Macro for the filename and line number.
Definition: IException.h:24
@ GainsWithoutNormalization
The equation being solved for Gains, Offsets, and Both is output = (input - average) * gain + offset ...
Definition: OverlapNormalization.h:135
AddStatus AddOverlap(const Statistics &area1, const unsigned index1, const Statistics &area2, const unsigned index2, double weight=1.0)
Attempts to add the given overlap data to a collection of valid overlaps, and returns the success or ...
Definition: OverlapNormalization.cpp:90
AddStatus
The result of the attempt to add overlap data to the list of valid overlaps, where Success is a succe...
Definition: OverlapNormalization.h:75
Calculate the bases and multipliers for normalizing overlapping "data sets" (e.g.,...
Definition: OverlapNormalization.h:61
void AddHold(unsigned holdIndex)
Sets the list of files to be held during the solving process.
Definition: OverlapNormalization.h:103
double Gain(const unsigned index) const
Returns the calculated gain (multiplier) for the given data set.
Definition: OverlapNormalization.cpp:314
@ Success
Overlap is valid and was added successfully.
Definition: OverlapNormalization.h:80
Isis exception class.
Definition: IException.h:91
virtual ~OverlapNormalization()
Destroys the OverlapNormalization object, frees up pointers.
Definition: OverlapNormalization.cpp:56
double Average() const
Computes and returns the average.
Definition: Statistics.cpp:300
@ QRD
QR Decomposition.
Definition: LeastSquares.h:113
@ Both
Calculate both gains and offsets.
Definition: OverlapNormalization.h:126
Namespace for the standard library.
void Solve(SolutionType type=Both, LeastSquares::SolveMethod method=LeastSquares::QRD)
Attempts to solve the least squares equation for all data sets.
Definition: OverlapNormalization.cpp:147
double Average(const unsigned index) const
Returns the calculated average DN value for the given data set.
Definition: OverlapNormalization.cpp:293
double Evaluate(double dn, unsigned index) const
Returns a new DN from an old using the calculated gains and offsets of the data set the pixel belongs...
Definition: OverlapNormalization.cpp:358
@ NoOverlap
Data sets do not overlap one another.
Definition: OverlapNormalization.h:85
This is free and unencumbered software released into the public domain.
Definition: Apollo.h:16