PhaseI Final Sar Pipeline

This is a effort to outline the final SAR 3D pipeline used for the TelEOSARus project along with the scripts and Matlab files used.

Outline of pipeline

This is the steps taken to generate the 3D SAR models from looking at the submission scripts

1. Spotlighting

• Submission script: run_fp###.sh (pass)
• Matlab Files:
  • Batch_Gotcha2006.m
  • SpotlightBasic.m
• Input Files: Original Gotcha data
• Output Files: blding620_FP###_0##.mat (pass, number)

2. Backprojection

• Submission script: run_2d_fp###.sh
• Matlab Files:
  • Batch_ProceessData_Gotcha_phaseHistoryCorrectionJul12.m
  • formImageSimulationNew.m
• Input Files: blding620_FP###_0##.mat
• Output Files: full_2d_###_#.mat (aperature, pass_idx)

3. Joint Sparse Recovery

• Submission script: run_full_3d_###.sh
• Matlab Files:
  • Batch_JointSparseRecovery_3D_script_Jul12.m
  • JointSparseRecovery_3D.m
• Input Files: full_2d_###_#.mat (aperature, pass_idx)
• Output Files: Results_3D_###.mat (aperture)

4. Integrate over apertures

• Submission script: run_integrate.sh
• Matlab Files: image3d_integrate.m
• Input Files: Results_3D_###.mat
• Output Files : 'resultsCombine.mat'

5. Create the point-cloud file in '.ply' format

• Matlab Files: pointCLoud_creator_parkingLot.m
• Input Files: resultsCombine.mat
• Output Files : 'parkingLot_full_L1'

In case of the GOTCHA parking lot, skip steps 1 and 2 and proceed to Joint Sparse Recovery

• Matlab Files:
  • JointSparseRecovery_3D_script.m
  • JointSparseRecovery_3D_L1.m
• Input Files: saveData_#.mat (pass_idx)
• Output Files: Results_3D_###.mat (aperture)