1 / 45

ImAP RSD Ongo-02a

ImAP RSD Ongo-02a. Image Acquisition and Processing of Remotely Sensed Data. Team Members. Advisor: Dr. Basart Client: Space Systems Control Laboratory (SSCL) – Matt Nelson Chief Engineer EE 491: Matt Clausman, Jesse Griggs, Christina McCourt, Andy Schulte, Shobhit Vaish

adria-jensen
Télécharger la présentation

ImAP RSD Ongo-02a

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. ImAP RSDOngo-02a Image Acquisition and Processing of Remotely Sensed Data

  2. Team Members • Advisor: Dr. Basart • Client: Space Systems Control Laboratory (SSCL) – Matt Nelson Chief Engineer • EE 491: Matt Clausman, Jesse Griggs, Christina McCourt, Andy Schulte, Shobhit Vaish • EE 492: Usman Aurakzai, Chia-Yuan Chang

  3. Presentation Outline Overview of Horizon Detection System System Requirements System Block Diagrams Thermopile System Imaging System Testing Semester Summary Questions

  4. ImAP Overview

  5. Horizon Detection System (HDS) • Absolute frame of reference is not available • Reference the ImAP payload pitch and roll to the horizon (yaw is not accounted for)

  6. ImAP Video • Video taken from High Altitude Balloon Experiments in Technology (HABET) payload at approximately 25,000 feet.

  7. HDS Functional Requirements • Horizon angle accurate to ±3° when operated between 20,000 and 30,000 feet • Minimum sample rate of 10 Hz • Operate during daylight hours • Less than 30% cloud cover • Horizon angle range of ±30°

  8. HDS Functional Requirements • Industrial temperature range of -40°C to +85°C • Powered by 11.1 V nominal lithium-ion battery • 3 hour run time using 4 Amp-hour battery pack

  9. Market Research • Horizon detection using imaging • More advanced statistical image processing algorithms • Supercomputers to process data • Conclusion: Too expensive • Horizon detection using thermopiles • Lower altitude and using model plane • Different control scheme • Conclusion: Too simple

  10. System Block Diagram ImAP Payload

  11. Thermopile Overview

  12. Thermopile System • Measure sky, ground, and horizon temperature • Nominal thermopile accuracy ±1°C (factory calibrated over -40°C to +85°C) • Thermopile resolution 0.02°C • Thermopile time constant 30 ms (-3 dB Bandwidth = 33 Hz)

  13. Thermopile System (continued) • Uncalibrated worst case angular accuracy of ±4° • Used mainly for image processing sanity check by comparing thermopile and imaging systems outputs • Simple temperature and angle calculations • Inexpensive

  14. Thermopile System Algorithm Average Horizon Temperature: Angle of Sky in View: Horizon Angle:

  15. Thermopile System Process

  16. Thermopile System Hardware

  17. Thermopile Test Board Layout

  18. Thermopile Test Board - Page 1

  19. Thermopile Test Board - Page 2

  20. Thermopile Test Board - Page 3

  21. Thermopile Test Board - Page 4

  22. System Block Diagram ImAP Payload

  23. Imaging System • Mount horizon facing camera sideways for 640 vertical lines of resolution • 0.175° angular resolution • Output horizon line equation and R2 value for least squares fit line • Utilize 3 different algorithms

  24. Imaging System (continued) • Accuracy varies significantly with conditions • Very computation intense therefore requires hardware processing (FPGA) • Expensive

  25. Imaging System Process

  26. Imaging System Blue Algorithm

  27. Imaging System Gray Algorithm

  28. Algorithm Comparison Gray Algorithm Blue Algorithm • Advantage: Performance unaffected by most clouds in the sky • Advantage: Performance unaffected by haze or fog near the horizon • Disadvantage: Incorrectly detects horizon when haze or fog is present near the horizon • Disadvantage: Numerous clouds in the sky may cause incorrect horizon detection

  29. Decision Algorithm • Count the number of edge pixels above the estimated horizon fit line • Calculate the trapezoidal area above the estimated horizon fit line • If cloud content is above the threshold value, use Blue Algorithm • If cloud content is above the threshold value, use Gray Algorithm

  30. Imaging System Hardware

  31. Bus Arbiter • Controls the bus time given to each client • Camera Interface is highest priority, VGA Controller is lowest priority • Allows 64 cycles of uninterrupted transfer • 3 cycles overhead for each new read/write operation

  32. SDRAM Controller • Accepts variable length packets • Automatically activates and deactivates rows • Performs Auto-Refreshes • 7 overhead cycles for each new read/write operation

  33. Camera Interface • Reads data from CMOS VGA Camera • Buffers data until the bus is available for transfer into SDRAM • Allows triggered or continuous frame acquisition • Each image requires 921 KB of RAM

  34. Imaging System Bus Bandwidth • 200 MB/s Bus Speed • 64 Byte packets nominal • SDRAM Controller 89.1% data throughput • Bus Arbiter 95.3% data throughput • Overall data throughput 84.9% or 170 MB/s • Capable of transferring 184 VGA frames per second • Estimated 12 FPS process rate with 15 frame transfers to process

  35. HDS Testing Testing Platform Single axis pivoting table with an optical rotary encoder to measure the horizon angle of the imaging and thermopile systems Optical Rotary Encoder • Electrical resolution: 256 quadrature cycles per revolution • Angular resolution: 0.351 ° T2

  36. HDS Testing Optical Rotary Encoder Microcontroller Computer Test Platform

  37. HDS Testing Procedure • Verify the accuracy of the Imaging System Algorithms • Use the test platform to compare the angle values provided by the optical rotary encoder to the horizon angle calculated by the Imaging System • Verify Imaging System hardware and circuit robustness • Temperature, humidity, and mechanical shock

  38. HDS Testing Procedure Test thermopile accuracy, precision, and drift Use a constant temperature black body and data log the thermopile temperature values Verify Thermopile System Use the test platform to compare the angle values provided by the optical rotary encoder to the value calculated by the Thermopile System Verify thermopile hardware and circuit robustness Temperature, humidity, and mechanical shock

  39. Team Hours and Budget

  40. Semester Milestones • System Design Research • Hardware & Software research Oct 11 • System Implementation • Horizon Detection Systems Dec 7 • Documentation • Plan, Design & Final Report Dec 12 • System Testing • Testing Plan • Actual Testing Dec 19

  41. Current Accomplishments • Thermopile algorithm determined • Thermopile Test Board layout complete • Image processing algorithms determined • Image processing camera to SDRAM to VGA Controller complete

  42. Next Semester Tasks • Complete testing platform construction • Test and verify thermopile algorithm • Continue testing and verification of image processing algorithms • Implement image processing algorithms in FPGA

  43. Next Semester Tasks • Implement thermopile algorithm in microcontroller • Design and layout single Thermopile and Imaging Systems circuit board • Test and verify Thermopile and Imaging Systems board • Deliver service manual to client (SSCL)

  44. Demonstration

  45. Questions?

More Related