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CReSIS SPIDAL

This update provides an overview of the progress made in the 3D imaging work since the January meeting at Kansas University. The focus has been on applying algorithms to the Canadian Arctic Archipelago dataset, including receiver equalization, aligning fine-resolution DEMs with radar data, using surface DEMs for surface extraction, improving basal surface DEM estimation, and converting images to Cartesian coordinate system.

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CReSIS SPIDAL

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  1. CReSIS SPIDAL Update on 3D imaging work since Jan meeting Kansas University Mar 25, 2016 meeting

  2. 3-D Imaging • Lowest hanging fruit: Apply algorithm to Canadian Arctic Archipelago dataset.

  3. 3-D Imaging • Lowest hanging fruit: Apply algorithm to Canadian Arctic Archipelago dataset.

  4. Tasks • Receiver equalization of all sub-arrays/channels • Align fine resolution DEMs (e.g. SPOT and Worldview) with radar data. • Use surface DEMs as ground truth for surface DEM extraction from radar data • Use surface DEMs to improve basal surface DEM estimation • Conversion (and resampling) of images from a cylindrical coordinate system to a Cartesian coordinate system. Use fine resolution DEM to determine surface refraction. • Provide more simulation examples for IU group to test with • Produce first order 3D surfaces based on MUSIC algorithm. • Apply narrowband MLE algorithm to further refine nadir beam and improve 3D surfaces • Refine side looking beams with wideband MLE algorithm and all 3 sub-arrays and improve 3D surfaces • Use MLE results to generate basal scattering image Figure 3. Relative phase angle and aircraft roll showing correct channel ordering.

  5. Tasks Table 6. Equalization coefficients for each day. The final set used are the ones acquired on 20140401. • Receiver equalization of all sub-arrays/channels • Align fine resolution DEMs (e.g. SPOT and Worldview) with radar data. • Use surface DEMs as ground truth for surface DEM extraction from radar data • Use surface DEMs to improve basal surface DEM estimation • Conversion (and resampling) of images from a cylindrical coordinate system to a Cartesian coordinate system. Use fine resolution DEM to determine surface refraction. • Provide more simulation examples for IU group to test with • Produce first order 3D surfaces based on MUSIC algorithm. • Apply narrowband MLE algorithm to further refine nadir beam and improve 3D surfaces • Refine side looking beams with wideband MLE algorithm and all 3 sub-arrays and improve 3D surfaces • Use MLE results to generate basal scattering image

  6. Tasks • Receiver equalization of all sub-arrays/channels • Align fine resolution DEMs (e.g. SPOT and Worldview) with radar data. • Use surface DEMs as ground truth for surface DEM extraction from radar data • Use surface DEMs to improve basal surface DEM estimation • Conversion (and resampling) of images from a cylindrical coordinate system to a Cartesian coordinate system. Use fine resolution DEM to determine surface refraction. • Provide more simulation examples for IU group to test with • Produce first order 3D surfaces based on MUSIC algorithm. • Apply narrowband MLE algorithm to further refine nadir beam and improve 3D surfaces • Refine side looking beams with wideband MLE algorithm and all 3 sub-arrays and improve 3D surfaces • Use MLE results to generate basal scattering image

  7. Tasks • Receiver equalization of all sub-arrays/channels • Align fine resolution DEMs (e.g. SPOT and Worldview) with radar data. • Use surface DEMs as ground truth for surface DEM extraction from radar data • Use surface DEMs to improve basal surface DEM estimation • Conversion (and resampling) of images from a cylindrical coordinate system to a Cartesian coordinate system. Use fine resolution DEM to determine surface refraction. • Provide more simulation examples for IU group to test with • Produce first order 3D surfaces based on MUSIC algorithm. • Apply narrowband MLE algorithm to further refine nadir beam and improve 3D surfaces • Refine side looking beams with wideband MLE algorithm and all 3 sub-arrays and improve 3D surfaces • Use MLE results to generate basal scattering image

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