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dem-gmrf

An application for generating Digital Elevation Models (DEM) with Gaussian Markov Random Fields (GMRF). Works on Windows, GNU/Linux and Mac OS.

References:

  • F.J. Aguilar, M. Aguilar, J.L. Blanco, A. Nemmaoui, "Analysis and Validation of Grid DEM Generation Based on Gaussian Markov Random Field (GMRF)", ISPRS Congress, Praga, 2016. (PDF)

Installing

  • Windows binaries:
  • (Write me!)
  • Building from sources requires:
  • A C++ compiler: GCC, clang, Visual C++ 2012 or above recommended.
  • MRPT >= 1.4.0

Input file formats

  • XYZ: Plain text file, each row containing one height (Z) measurement: (separated by whitespaces or commas ,)

      X    Y    Z
    
  • XYZS: Plain text file, each row containing one height (Z) measurement and its uncertainty (standard deviation): (separated by whitespaces or commas ,)

      X    Y    Z  STD_DEV
    

Usage

	   dem-gmrf  [--no-gui] [--skip-variance] [--std-obs <0.20>] [--std-prior
				 <1.0>] [-c <0.01>] [-o <demgmrf_out>] [-r <1.0>] -i <xyz.txt>
				 [--] [--version] [-h]


	Where:

	   --no-gui
		 Do not show the graphical window with the 3D visualization at end.

	   --skip-variance
		 Skip variance estimation

	   --std-obs <0.20>
		 Default standard deviation of each XYZ point observation [meters]

	   --std-prior <1.0>
		 Standard deviation of the prior constraints (`smoothness` or
		 `tolerance`of the terrain) [meters]

	   -c <0.01>,  --checkpoint-ratio <0.01>
		 Ratio (1.0=all,0.0=none) of data points to use as checkpoints. They
		 will not be inserted in the DEM. (Default=0.01)

	   -o <demgmrf_out>,  --output-prefix <demgmrf_out>
		 Prefix for all output filenames

	   -r <1.0>,  --resolution <1.0>
		 Resolution (side length) of each cell in the DEM (meters)

	   -i <xyz.txt>,  --input <xyz.txt>
		 (required)  Input dataset file: X,Y,Z points in plain text format

	   --,  --ignore_rest
		 Ignores the rest of the labeled arguments following this flag.

	   --version
		 Displays version information and exits.

	   -h,  --help
		 Displays usage information and exits.

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Digital Elevation Models (DEM) with Gaussian Markov Random Fields (GMRF)

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