Пример #1
0
/** 
 * stable invert stolen from ossimRpcSolver
 */
NEWMAT::Matrix 
ossimRpcProjection::invert(const NEWMAT::Matrix& m)const
{
   ossim_uint32 idx = 0;
   NEWMAT::DiagonalMatrix d;
   NEWMAT::Matrix u;
   NEWMAT::Matrix v;

   // decompose m.t*m which is stored in Temp into the singular values and vectors.
   //
   NEWMAT::SVD(m, d, u, v, true, true);
   
   // invert the diagonal
   // this is just doing the reciprical fo all diagonal components and store back int
   // d.  ths compute d inverse.
   //
   for(idx=0; idx < (ossim_uint32)d.Ncols(); ++idx)
   {
      if(d[idx] > 1e-14) //TBC : use DBL_EPSILON ?
      {
         d[idx] = 1.0/d[idx];
      }
      else
      {
         d[idx] = 0.0;

//DEBUG TBR
cout<<"warning: singular matrix in SVD"<<endl;

      }
   }

   //compute inverse of decomposed m;
   return v*d*u.t();
}
Пример #2
0
NEWMAT::Matrix rspfSensorModelTuple::invert(const NEWMAT::Matrix& m) const
{
   rspf_uint32 idx = 0;
   NEWMAT::DiagonalMatrix d;
   NEWMAT::Matrix u;
   NEWMAT::Matrix v;
   NEWMAT::SVD(m, d, u, v, true, true);
   
   for(idx=0; idx < (rspf_uint32)d.Ncols(); ++idx)
   {
      if(d[idx] > 1e-14) //TBC : use DBL_EPSILON ?
      {
         d[idx] = 1.0/d[idx];
      }
      else
      {
         d[idx] = 0.0;
         if (traceDebug())
         {
            rspfNotify(rspfNotifyLevel_WARN)
               << "DEBUG: rspfSensorModelTuple::invert(): "
               << "\nsingular matrix in SVD..."
               << std::endl;
         }
      }
   }
   return v*d*u.t();
}