Keywords: thermal, balfour

Summary

This scene demonstrates the DIRSIG5 capability of spatially mapping Balfour input parameters. The scene consists of a background and a panel, which have mapped parameters, along with two arrows and a pole, which have constant parameters.

Details

An extension of the Balfour temperature model was made in DIRSIG5 that allows the user to provide spatially-varying Balfour coefficients via a 5-band image data cube, where the bands map directly to the Balfour a0, a1, etc. coefficients.

Important Files

This section highlights key files important to the simulation.

Coefficent Maps

This demo uses two separate mapped Balfour configurations: (1) for a small panel in the scene and (2) one for the grass background in the scene. The two spatially-varying Balfour coefficient maps are stored in the maps folder. The two coefficient map files were created by a pair of respective Python scripts in the maps folder (see maps/make_background_map.py and maps/make_panel_map.py).

Material Database

The spatially-varying Balfour setup is requested using the MappedBalfour temperature solver. The IMAGE_FILENAME specifies the image map containing the spatially-varying Balfour model coefficients. A map projector must be provided to dictate how the image cube is projected into the scene (see the Maps manual for details on configuring the "drape" or "UV" projector).

    TEMP_SOLVER_NAME = MappedBalfour
    TEMP_SOLVER {
        NAME = Plate Balfour Map
        IMAGE_FILENAME = panel.img
        TYPE = Classic
        UV_PROJECTOR {
            FLIPX = FALSE
            FLIPY = FALSE
        }
    }

Setup

This section includes any step-by-step instructions for running and visualizing the simulation.

To run the simulation, perform the following steps:

  1. Run the DIRSIG demo.sim file

  2. Load the resulting demo-t0000-c0000.img radiance file in the image viewer.

Results

images/radiance.png
Figure 1. The LWIR radiance image.
images/temperature.png
Figure 2. The temperature truth image.