For more details see other posts on object based image analysis. it is necessary for the parallel computation run to copy the source code and input raster of each segment. The output RAT can then be used as any other RAT, e.g., attributing objects with image statistics or using as part of a classification. Visibility function using the r.los module. To view the attributes open the file in TuiView. Note the output format is always KEA as it has support for large attribute tables and stores them with compression. This will copy all the attributes from the input shapefile to a RAT. rename : Change the name of the raster file.pyShapefile2RAT(input_vector, rasterised_vector,output_rat_image) Create a copy of the raster file with a new name. Output_rat_image = 'brig_re09_attributes.kea' Usage You can save the output to BIL, BIP, BMP, BSQ, COG, CRF, ENVI DAT, ERDAS IMAGINE, GIF, JPEG, JPEG 2000, MRF, NetCDF, PNG, TIFF, or Esri Grid format or to any geodatabase raster dataset.
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