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GUI & Sampling Strategies for Satellite Imaging Payloads PowerPoint Presentation
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GUI & Sampling Strategies for Satellite Imaging Payloads

GUI & Sampling Strategies for Satellite Imaging Payloads

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GUI & Sampling Strategies for Satellite Imaging Payloads

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Presentation Transcript

  1. GUI & Sampling Strategies for Satellite Imaging Payloads Mentors: Glynn Germany Raymond Jimenez Team Members: Christopher Romero Paul Groves Manuel Perea IV Juan Rodriguez Jr.

  2. Classified Questions?

  3. Project Description • GUI front-end • Development of algorithms • Trade Study

  4. Goals • Create a GUI front-end for satellite imaging software • GUI is to simplify the configuration and operations of the simulation software • Import the data from the simulation software • Data management • Develop an analysis tool for image processing • Propose and implement multiple sampling algorithms • Provide a performance trade-study analysis • Integrate the analysis tool into the GUI

  5. Team Member Roles • Paul Groves & Juan Rodriquez • In charge of GUI development between simulation software and Matlab • Development of programmer’s and user’s manuals • Christopher Romero & Manuel Perea • In charge of research and data analysis • Algorithm and trade study development

  6. Major Software Components GUI Software Control Class Simulation Data Class Parameter Sweep Tool Quantification Routines Algorithms

  7. Current Progress

  8. Current Progress Continued • Data Analysis • Potential Algorithms

  9. Size/Scope/Roles of Sponsor • Our sponsors are primarily there for technical guidance. They are trying to give us the chance to think on our own as we would in an engineering firm. • Help elaborate our victory conditions • Glynn Germany- Space weather expert • Raymond Jimenez- Senior Optical Physicist

  10. Major Schedule Milestones • Completed Sweep Tool December • Completed GUI February • Completed Algorithms March • Trade-Study Analysis April • Completed User’s Manual April • Final Report April • Final Presentation May

  11. Deliverables • Completed GUI for simulation software • Trade-Study analysis report • User’s Manual • Programmer’s Manual

  12. Biggest Challenges & Concerns • Matlabprogramming • Simulation software • Quantifying data sets • Developing algorithms • Conceptual understand of space weather

  13. Upcoming Tasks • Sweep Tool Development • Quantification methods for data sets

  14. Why is this a good senior project? • Apply theory to a challenging aerospace engineering problem • Gain experience in satellite imaging and space weather • Improvement of Matlab skills • Experience outside the classroom with top scientists and engineers

  15. Questions?