It allows to extract regions of interest (ROI) from an image. There are two ways to select the region:
With Monteverdi, you could generate a large scale of value added informations from lots of inputs data. One of the basic functionnality is to be able to superpose result’s layers into the same dataset. Concatenating images into one single multiple-bands image (they need to have the same size), and to be able to create for example RGB composition with the inputs layer.
Monteverdi allows to export raster or vector dataset to a file to your system. In the case of raster images, it is possible to cast output pixel type. In Monteverdi all the processes are done in floating point precision. On large remote sensing dataset, saving your result in float data type could lead to file too large(more than 25 Go for pan-sharpened 8 bands WorldView2 with a resolution of 46 centimeters). Since the module allows to cast pixels in other types :