Commit 25a3c1e5 by OTB Bot

### STYLE

parent 490b262d
 ... ... @@ -102,8 +102,8 @@ namespace otb * (\bar\matA\matS-\bar\matR)-\lambda_S(\matS-\frac{1}{J}\1_{JI})\right)\right * ]\\ \nonumber \matA &\leftarrow &P\left [\matA-\mu_A \left( * (\matA\matS-\matR)\matS^T +\lambda_A(\matA-\frac{1}{L}\ \mathbf * 1_{LL}\matA)\right)\right ] * \end{eqnarray} \f$* 1_{LL}\matA)\right)\right ] * \end{eqnarray} \f$ * where \f$\mu_A\f$ and \f$\mu_S \f$ * are the step sizes. * Huck propose a ... ... @@ -111,7 +111,7 @@ namespace otb * \f$\mu_S \f$. The projection operator \f$P \f$ at each step ensures the * positivity constraint for \f$\matA \f$ and \f$\matS \f$, and \f$* \bar\matR \f$ and * \f$\bar\matA \f$ include the sum-to-one constraint: * \f$\bar\matA \f$ include the sum-to-one constraint: * \f\$ \bar\matR=\left[ * \begin{array}{c} \matR \\ * \delta\cdot\1_{1I}\end{array}\right],\enspace \bar\matA=\left[ ... ...
 ... ... @@ -25,7 +25,7 @@ // Software Guide : BeginCommandLineArgs // INPUTS: {ROI_QB_MUL_1.png} // OUTPUTS: {PCAOutput.tif}, {InversePCAOutput.tif},{InversePCAOutput1.png}, {PCAOutput1.png}, {PCAOutput2.png}, {PCAOutput3.png} // OUTPUTS: {PCAOutput.tif}, {InversePCAOutput.tif}, {InversePCAOutput1.png}, {PCAOutput1.png}, {PCAOutput2.png}, {PCAOutput3.png} // 3 // Software Guide : EndCommandLineArgs ... ... @@ -132,7 +132,7 @@ int main(int argc, char* argv[]) // Software Guide : BeginLatex // // \doxygen{otb}{PCAImageFilter} allows also to compute inverse // transformation from PCA coefficients. In REVERSE mode, the // transformation from PCA coefficients. In REVERSE mode, the // covariance matrix or the transformation matrix // (which may not be square) has to be given. // ... ... @@ -149,7 +149,6 @@ int main(int argc, char* argv[]) invWriter->SetInput(invFilter->GetOutput() ); invWriter->Update(); // Software Guide : EndCodeSnippet // Software Guide : BeginLatex ... ...
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