Commit ceff97aa authored by Antoine Regimbeau's avatar Antoine Regimbeau
Browse files

Merge branch 'develop' into ci_hidden_key

parents 84b16d03 dbf88cdf
......@@ -89,7 +89,6 @@ private:
{
SetName("DimensionalityReduction");
SetDescription("Perform Dimension reduction of the input image.");
SetDocName("Dimensionality reduction");
SetDocLongDescription("Performs dimensionality reduction on input image. PCA,NA-PCA,MAF,ICA methods are available. It is also possible to compute the inverse transform to reconstruct the image. It is also possible to optionally export the transformation matrix to a text file.");
SetDocLimitations("This application does not provide the inverse transform and the transformation matrix export for the MAF.");
SetDocAuthors("OTB-Team");
......
......@@ -129,7 +129,6 @@ private:
"according to a dimensionality reduction model file.");
// Documentation
SetDocName("Image Dimensionality Reduction");
SetDocLongDescription("This application reduces the dimension of an input"
" image, based on a machine learning model file produced by"
" the TrainDimensionalityReduction application. Pixels of the "
......
......@@ -73,7 +73,6 @@ private:
SetName("TrainDimensionalityReduction");
SetDescription("Train a dimensionality reduction model");
SetDocName("Train Dimensionality Reduction");
SetDocLongDescription("Trainer for dimensionality reduction algorithms "
"(autoencoders, PCA, SOM). All input samples are used to compute the "
"model, like other machine learning models.\n"
......
......@@ -86,7 +86,6 @@ private:
SetName("VectorDimensionalityReduction");
SetDescription("Performs dimensionality reduction of the input vector data "
"according to a model file.");
SetDocName("Vector Dimensionality Reduction");
SetDocAuthors("OTB-Team");
SetDocLongDescription("This application performs a vector data "
"dimensionality reduction based on a model file produced by the "
......
......@@ -84,7 +84,6 @@ private:
SetDescription("Domain Transform application for wavelet and fourier");
// Documentation
SetDocName("DomainTransform");
SetDocLongDescription("Domain Transform application for wavelet and fourier.");
SetDocLimitations("This application is not streamed, check your system resources when processing large images");
SetDocAuthors("OTB-Team");
......
......@@ -64,7 +64,6 @@ private:
"selected channel");
// Documentation
SetDocName("Edge Feature Extraction");
SetDocLongDescription(
"This application computes edge features on a selected channel of the input."
"It uses different filter such as gradient, Sobel and Touzi");
......
......@@ -59,7 +59,6 @@ private:
SetDescription("Detect line segments in raster");
// Documentation
SetDocName("Line segment detection");
SetDocLongDescription(
"This application detects locally straight contours in a image."
" It is based on Burns, Hanson, and Riseman method and use an a contrario "
......
......@@ -153,7 +153,6 @@ private:
"also a mode to equalize the luminance of the image.");
// Documentation
SetDocName("Contrast Enhancement");
SetDocLongDescription("This application is the implementation of the "
"histogram equalization algorithm. The idea of the algorithm is to use "
"the whole available dynamic. In order to do so it computes a histogram "
......
......@@ -60,7 +60,6 @@ private:
SetName( "Smoothing" );
SetDescription( "Apply a smoothing filter to an image" );
SetDocName( "Smoothing" );
SetDocLongDescription( "This application applies a smoothing filter to an "
"image. Three methodes can be used: a gaussian filter , a mean filter "
", or an anisotropic diffusion using the Perona-Malik algorithm." );
......
......@@ -48,7 +48,6 @@ private:
SetDescription("Perform P+XS pansharpening");
// Documentation
SetDocName("Bundle to perfect sensor");
SetDocLongDescription("This application performs P+XS pansharpening. The default mode use Pan and XS sensor models to estimate the transformation to superimpose XS over Pan before the fusion (\"default mode\"). The application provides also a PHR mode for Pleiades images which does not use sensor models as Pan and XS products are already coregistered but only estimate an affine transformation to superimpose XS over the Pan.Note that this option is automatically activated in case Pleiades images are detected as input.");
SetDocLimitations("None");
SetDocAuthors("OTB-Team");
......
......@@ -77,7 +77,6 @@ private:
SetDescription("Perform P+XS pansharpening");
// Documentation
SetDocName("Pansharpening");
SetDocLongDescription("This application performs P+XS pansharpening. Pansharpening is a process of merging high-resolution panchromatic and lower resolution multispectral imagery to create a single high-resolution color image. Algorithms available in the applications are: RCS, bayesian fusion and Local Mean and Variance Matching(LMVM).");
SetDocLimitations("None");
SetDocAuthors("OTB-Team");
......
......@@ -55,7 +55,6 @@ private:
SetDescription("Estimate the number of endmembers in a hyperspectral image");
// Documentation
SetDocName("Endmember Number Estimation");
SetDocLongDescription("Estimate the number of endmembers "
"in a hyperspectral image. First, compute statistics on the image and then "
"apply an endmember number estimation algorithm using these statistics. Two "
......
......@@ -94,7 +94,6 @@ private:
SetDescription("Estimate abundance maps from an hyperspectral image and a set of endmembers.");
// Documentation
SetDocName("Hyperspectral data unmixing");
SetDocLongDescription("The application applies a linear unmixing algorithm "
"to an hyperspectral data cube. This method supposes that the mixture between "
"aterials in the scene is macroscopic and simulates a linear mixing model of "
......
......@@ -54,7 +54,6 @@ private:
SetDescription("Performs local Rx score computation on an hyperspectral image.");
// Documentation
SetDocName("Local Rx Detection");
SetDocLongDescription("Performs local Rx score computation on an input "
"hyperspectral image. For each hyperspectral pixel, the Rx score is "
"computed using statistics computed on a dual neighborhood. The dual "
......
......@@ -55,7 +55,6 @@ private:
"Component Analysis algorithm.");
// Documentation
SetDocName("Vertex Component Analysis");
SetDocLongDescription("Apply the Vertex Component Analysis [1] to "
"an hyperspectral image to extract endmembers. Given a set of mixed "
"spectral vectors (multispectral or hyperspectral), the application "
......
......@@ -240,7 +240,6 @@ private:
SetName("ColorMapping");
SetDescription("Map a label image to 8-bits RGB using look-up tables.");
SetDocName("Color Mapping");
SetDocLongDescription(
"Map a label image to a 8-bits RGB image (both ways) using different methods:\n\n"
......
......@@ -55,7 +55,6 @@ private:
SetDescription("Estimator between 2 images.");
// Documentation
SetDocName("Images comparison");
SetDocLongDescription(
"Compute MSE (Mean Squared Error), MAE (Mean Absolute Error) and PSNR (Peak Signal to Noise Ratio) between two image bands (reference and measurement). "
"The user has to set the used channel and can specify a ROI."
......
......@@ -60,7 +60,6 @@ private:
SetDescription("Concatenate a list of images of the same size into a single multi-channel image.");
// Documentation
SetDocName("Images Concatenation");
SetDocLongDescription("Concatenate a list of images of the same size into a single multi-channel image. "
"It reads the input image list (single or multi-channel) "
"and generates a single multi-channel image. The channel order is the same as the list.");
......
......@@ -196,7 +196,6 @@ private:
SetDescription("Download or list SRTM tiles");
// Documentation
SetDocName("Download or list SRTM tiles related to a set of images");
SetDocLongDescription("This application allows selecting the appropriate SRTM tiles that covers a list of images. It builds a list of the required tiles. Two modes are available: the first one download those tiles from the USGS SRTM3 website (http://dds.cr.usgs.gov/srtm/version2_1/SRTM3/), the second one list those tiles in a local directory. In both cases, you need to indicate the directory in which directory tiles will be download or the location of local SRTM files.");
SetDocLimitations("None");
SetDocAuthors("OTB-Team");
......
......@@ -73,7 +73,6 @@ private:
SetName("DynamicConvert");
SetDescription("Change the pixel type and rescale the image's dynamic");
SetDocName("Dynamic Conversion");
SetDocLongDescription(
"This application performs an image pixel type "
"conversion (short, ushort, uchar, int, uint, float and double types are "
......
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