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otb
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56baa5c4
Commit
56baa5c4
authored
5 years ago
by
Cédric Traizet
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STY: remove otbBandMathXdoc header and move doc to the app cxx file
parent
45b67050
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3 merge requests
!648
Ci rcjob
,
!621
Release 7.0 (master)
,
!580
Refactoring of the BandMathX documentation, and fix OpticalCalibration documentation
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Modules/Applications/AppMathParserX/app/otbBandMathX.cxx
+128
-3
128 additions, 3 deletions
Modules/Applications/AppMathParserX/app/otbBandMathX.cxx
Modules/Applications/AppMathParserX/app/otbBandMathXdoc.h
+0
-148
0 additions, 148 deletions
Modules/Applications/AppMathParserX/app/otbBandMathXdoc.h
with
128 additions
and
151 deletions
Modules/Applications/AppMathParserX/app/otbBandMathX.cxx
+
128
−
3
View file @
56baa5c4
...
...
@@ -61,9 +61,134 @@ private:
SetDescription
(
"This application performs mathematical operations on several multiband images."
);
// As the doc for this application is quite long the SetDocLongDescription() is
// called in the following file.
#include
"otbBandMathXdoc.h"
SetDocLongDescription
(
"This application performs a mathematical operation on several multi-band "
"images and outputs the result into an image (multi- or mono-band, as "
"opposed to the BandMath OTB-application). The mathematical formula is "
"done by the muParserX library.
\n\n
"
"The list of features and the syntax of muParserX is available at [1].
\n\n
"
"As opposed to muParser (and thus the BandMath OTB-application [2]), "
"muParserX supports vector expressions which allows outputting multi-band "
"images.
\n\n
"
"Hereafter is a brief reference of the muParserX syntax
\n\n
"
"Fundamentals
\n
"
"------------
\n\n
"
"The formula can be written using:
\n\n
"
"* numerical values ( 2.3, -5, 3.1e4, ...)
\n
"
"* variables containing pixel values (please, note the indexing of "
"inputs from 1 to N). Examples for the first input image:
\n\n
"
" * ``im1`` a pixel from 1st input, made of n components (n bands)
\n
"
" * ``im1b2`` the 2nd component of a pixel from 1st input (band index is 1-based)
\n
"
" * ``im1b2N3x4`` a 3x4 pixels Neighbourhood of a pixel the 2nd component of a pixel from the 1st input
\n
"
" * ``im1PhyX`` horizontal (X-axis) spacing of the 1st input.
\n
"
" * ``im1PhyY`` vertical (Y-axis) spacing of the 1st input input.
\n
"
" * ``im1b2Mean`` mean of the 2nd component of the 1st input (global statistics)
\n
"
" * ``im1b2Mini`` minimum of the 2nd component of the 1st input (global statistics)
\n
"
" * ``im1b2Maxi`` maximum of the 2nd component of the 1st input (global statistics)
\n
"
" * ``im1b2Sum`` sum of the 2nd component of the 1st input (global statistics)
\n
"
" * ``im1b2Var`` variance of the 2nd component of the 1st input (global statistics)
\n
"
" * ``idxX`` and ``idxY`` are the indices of the current pixel (generic variables)
\n
"
"* binary operators:
\n\n
"
" * ``+`` addition, ``-`` subtraction, ``*`` multiplication, ``/`` division
\n
"
" * ``^`` raise x to the power of y
\n
"
" * ``<`` less than, ``>`` greater than, ``<=`` less or equal, ``>=`` greater or equal
\n
"
" * ``==`` equal, ``!=`` not equal
\n
"
" * logical operators: ``or``, ``and``, ``xor``
\n
"
" * bit manipulation: ``&`` (and), ``|`` (or), ``<<``(left shift) and ``>>`` (right shift)"
"* if-then-else operator: ``(condition ? value_true : value_false)``
\n
"
"* functions: abs(), exp(), log(), sin(), cos(), min(), max(), ...
\n\n
"
"Always keep in mind that this application only addresses mathematically "
"well-defined formulas. For instance, it is not possible to add vectors of"
" different dimensions (e.g. addition of a row vector with a column vector"
"), or a scalar to a vector or matrix, or divide two vectors, etc.
\n\n
"
"Thus, it is important to remember that a pixel of n components is always "
"represented as a row vector.
\n\n
"
"Example:
\n
"
" ``im1 + im2``
\n
"
" represents the addition of pixels from the 1st and 2nd inputs. This "
"expression is consistent only if both inputs have the same number of "
"bands.
\n\n
"
"Please note that it is also possible to use the following expressions"
" to obtain the same result:
\n\n
"
" * ``im1b1 + im2b1``
\n
"
" * ``im1b2 + im2b2``
\n
"
" * ...
\n\n
"
"Nevertheless, the first expression is by far much pleaseant. We call "
"this new functionality the 'batch mode' (performing the same operation "
"in a band-to-band fashion).
\n\n
"
"Operations involving neighborhoods of pixels
\n
"
"--------------------------------------------
\n\n
"
"Another new feature is the possibility to perform operations that "
"involve neighborhoods of pixels. Variables related to such neighborhoods "
"are always defined following the ``imIbJNKxP`` pattern, where:
\n\n
"
" - ``I`` is an number identifying the image input (remember, input #0 = im1, "
"and so on)
\n
"
" - ``J`` is an number identifying the band (remember, first band is indexed by 1)
\n
"
" - ``KxP`` are two numbers that represent the size of the neighborhood (first "
"one is related to the horizontal direction)
\n\n
"
"NB: All neighborhood are centered, thus ``K`` and ``P`` must be odd numbers.
\n\n
"
"Many operators come with this new functionality:
\n\n
"
" - dotpr
\n
"
" - mean
\n
"
" - var
\n
"
" - median
\n
"
" - vmin
\n
"
" - vmax
\n
"
" - etc.
\n\n
"
"For instance, if ``im1`` represents the pixel of a 3 bands image::
\n\n
"
" im1 - mean( im1b1N5x5, im1b2N5x5, im1b3N5x5 )
\n\n
"
"could represent a high pass filter (note that by implying three "
"neighborhoods, the operator mean returns a row vector of three components"
". It is a typical behaviour for many operators of this application).
\n\n
"
"In addition to the previous operators, other operators are available:
\n\n
"
" - existing operators/functions from muParserX, that were not originally "
"defined for vectors and matrices (e.g. cos, sin). These new "
"operators/functions keep the original names to which we added the prefix "
"``v`` for vector (``vcos``, ``vsin``, etc.)
\n
"
" - ``mult``, ``div`` and ``pow`` operators, that perform element-wise multiplication, "
"division or exponentiation of vector/matrices (e.g. ``im1 div im2``).
\n
"
" - ``mlt``, ``dv`` and ``pw`` operators, that perform multiplication, division or "
"exponentiation of vector/matrices by a scalar (e.g. ``im1 dv 2.0``).
\n
"
" - ``bands``, which is a very useful operator. It allows selecting specific "
"bands from an image, or to rearrange them in a new vector (e.g."
"``bands( im1, { 1, 2, 1, 1 } )`` produces a vector of 4 components made of "
"band 1, band 2, band 1 and band 1 values from the first input.
\n\n
"
"Note that curly brackets must be used in order to select the desired band"
"indices.
\n\n
"
"The application itself
\n
"
"----------------------
\n\n
"
"The application can use an expression supplied with the ``-exp`` parameter."
" It can also use an input context file, that defines variables and "
"expressions. An example of context file is given below::
\n\n
"
" #F expo 1.1
\n
"
" #M kernel1 { 0.1 , 0.2 , 0.3; 0.4 , 0.5 , 0.6; 0.7 , 0.8 , 0.9; 1 , 1.1"
", 1.2; 1.3 , 1.4 , 1.5 }
\n
"
" #E $dotpr( kernel1, im1b1N3x5 ); im2b1^expo$
\n\n
"
"As we can see, #I/#F allows the definition of an integer/float constant, "
"whereas #M allows the definition of a vector/matrix. In the latter case, "
"elements of a row must be separated by commas, and rows must be separated"
" by semicolons. It is also possible to define expressions within the same"
" txt file, with #E <expr> (see limitations, below)."
);
SetDocLimitations
(
"The application is currently unable to produce one output image per "
...
...
This diff is collapsed.
Click to expand it.
Modules/Applications/AppMathParserX/app/otbBandMathXdoc.h
deleted
100644 → 0
+
0
−
148
View file @
45b67050
/*
* Copyright (C) 2005-2019 Centre National d'Etudes Spatiales (CNES)
*
* This file is part of Orfeo Toolbox
*
* https://www.orfeo-toolbox.org/
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
SetDocLongDescription
(
"This application performs a mathematical operation on several multi-band "
"images and outputs the result into an image (multi- or mono-band, as "
"opposed to the BandMath OTB-application). The mathematical formula is "
"done by the muParserX library.
\n\n
"
"The list of features and the syntax of muParserX is available at [1].
\n\n
"
"As opposed to muParser (and thus the BandMath OTB-application [2]), "
"muParserX supports vector expressions which allows outputting multi-band "
"images.
\n\n
"
"Hereafter is a brief reference of the muParserX syntax
\n\n
"
"Fundamentals
\n
"
"------------
\n\n
"
"The formula can be written using:
\n\n
"
"* numerical values ( 2.3, -5, 3.1e4, ...)
\n
"
"* variables containing pixel values (please, note the indexing of "
"inputs from 1 to N). Examples for the first input image:
\n\n
"
" * ``im1`` a pixel from 1st input, made of n components (n bands)
\n
"
" * ``im1b2`` the 2nd component of a pixel from 1st input (band index is 1-based)
\n
"
" * ``im1b2N3x4`` a 3x4 pixels Neighbourhood of a pixel the 2nd component of a pixel from the 1st input
\n
"
" * ``im1PhyX`` horizontal (X-axis) spacing of the 1st input.
\n
"
" * ``im1PhyY`` vertical (Y-axis) spacing of the 1st input input.
\n
"
" * ``im1b2Mean`` mean of the 2nd component of the 1st input (global statistics)
\n
"
" * ``im1b2Mini`` minimum of the 2nd component of the 1st input (global statistics)
\n
"
" * ``im1b2Maxi`` maximum of the 2nd component of the 1st input (global statistics)
\n
"
" * ``im1b2Sum`` sum of the 2nd component of the 1st input (global statistics)
\n
"
" * ``im1b2Var`` variance of the 2nd component of the 1st input (global statistics)
\n
"
" * ``idxX`` and ``idxY`` are the indices of the current pixel (generic variables)
\n
"
"* binary operators:
\n\n
"
" * ``+`` addition, ``-`` subtraction, ``*`` multiplication, ``/`` division
\n
"
" * ``^`` raise x to the power of y
\n
"
" * ``<`` less than, ``>`` greater than, ``<=`` less or equal, ``>=`` greater or equal
\n
"
" * ``==`` equal, ``!=`` not equal
\n
"
" * logical operators: ``or``, ``and``, ``xor``
\n
"
" * bit manipulation: ``&`` (and), ``|`` (or), ``<<``(left shift) and ``>>`` (right shift)"
"* if-then-else operator: ``(condition ? value_true : value_false)``
\n
"
"* functions: abs(), exp(), log(), sin(), cos(), min(), max(), ...
\n\n
"
"Always keep in mind that this application only addresses mathematically "
"well-defined formulas. For instance, it is not possible to add vectors of"
" different dimensions (e.g. addition of a row vector with a column vector"
"), or a scalar to a vector or matrix, or divide two vectors, etc.
\n\n
"
"Thus, it is important to remember that a pixel of n components is always "
"represented as a row vector.
\n\n
"
"Example:
\n
"
" ``im1 + im2``
\n
"
" represents the addition of pixels from the 1st and 2nd inputs. This "
"expression is consistent only if both inputs have the same number of "
"bands.
\n\n
"
"Please note that it is also possible to use the following expressions"
" to obtain the same result:
\n\n
"
" * ``im1b1 + im2b1``
\n
"
" * ``im1b2 + im2b2``
\n
"
" * ...
\n\n
"
"Nevertheless, the first expression is by far much pleaseant. We call "
"this new functionality the 'batch mode' (performing the same operation "
"in a band-to-band fashion).
\n\n
"
"Operations involving neighborhoods of pixels
\n
"
"--------------------------------------------
\n\n
"
"Another new feature is the possibility to perform operations that "
"involve neighborhoods of pixels. Variables related to such neighborhoods "
"are always defined following the ``imIbJNKxP`` pattern, where:
\n\n
"
" - ``I`` is an number identifying the image input (remember, input #0 = im1, "
"and so on)
\n
"
" - ``J`` is an number identifying the band (remember, first band is indexed by 1)
\n
"
" - ``KxP`` are two numbers that represent the size of the neighborhood (first "
"one is related to the horizontal direction)
\n\n
"
"NB: All neighborhood are centered, thus ``K`` and ``P`` must be odd numbers.
\n\n
"
"Many operators come with this new functionality:
\n\n
"
" - dotpr
\n
"
" - mean
\n
"
" - var
\n
"
" - median
\n
"
" - vmin
\n
"
" - vmax
\n
"
" - etc.
\n\n
"
"For instance, if ``im1`` represents the pixel of a 3 bands image::
\n\n
"
" im1 - mean( im1b1N5x5, im1b2N5x5, im1b3N5x5 )
\n\n
"
"could represent a high pass filter (note that by implying three "
"neighborhoods, the operator mean returns a row vector of three components"
". It is a typical behaviour for many operators of this application).
\n\n
"
"In addition to the previous operators, other operators are available:
\n\n
"
" - existing operators/functions from muParserX, that were not originally "
"defined for vectors and matrices (e.g. cos, sin). These new "
"operators/functions keep the original names to which we added the prefix "
"``v`` for vector (``vcos``, ``vsin``, etc.)
\n
"
" - ``mult``, ``div`` and ``pow`` operators, that perform element-wise multiplication, "
"division or exponentiation of vector/matrices (e.g. ``im1 div im2``).
\n
"
" - ``mlt``, ``dv`` and ``pw`` operators, that perform multiplication, division or "
"exponentiation of vector/matrices by a scalar (e.g. ``im1 dv 2.0``).
\n
"
" - ``bands``, which is a very useful operator. It allows selecting specific "
"bands from an image, or to rearrange them in a new vector (e.g."
"``bands( im1, { 1, 2, 1, 1 } )`` produces a vector of 4 components made of "
"band 1, band 2, band 1 and band 1 values from the first input.
\n\n
"
"Note that curly brackets must be used in order to select the desired band"
"indices.
\n\n
"
"The application itself
\n
"
"----------------------
\n\n
"
"The application can use an expression supplied with the ``-exp`` parameter."
" It can also use an input context file, that defines variables and "
"expressions. An example of context file is given below::
\n\n
"
" #F expo 1.1
\n
"
" #M kernel1 { 0.1 , 0.2 , 0.3; 0.4 , 0.5 , 0.6; 0.7 , 0.8 , 0.9; 1 , 1.1"
", 1.2; 1.3 , 1.4 , 1.5 }
\n
"
" #E $dotpr( kernel1, im1b1N3x5 ); im2b1^expo$
\n\n
"
"As we can see, #I/#F allows the definition of an integer/float constant, "
"whereas #M allows the definition of a vector/matrix. In the latter case, "
"elements of a row must be separated by commas, and rows must be separated"
" by semicolons. It is also possible to define expressions within the same"
" txt file, with #E <expr> (see limitations, below)."
);
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