1. Image Processing of Remotely Sensed Data
ImAP RSD
Image Processing of
Remotely Sensed Data

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

3. Problem Statement General Problem Statement: General ImAP Solution
There is no efficient, low cost, and easy to use method of aerially monitoring crop health and yield
General ImAP Solution
Suspend a payload from a high-altitude balloon that is capable of taking photos and storing the data for analysis.

4. Current Methods Balloon 9000 – 20000+ feet Aircraft 500 – 9000 feet
Radiometer
10 feet
Soybean

5. System Overview

6. Current Semester’s Focus
Horizon Detection System (HDS)
Determine the spatial orientation of the payload for effective aiming of the camera system
Pitch
Roll

7. Possible HDS Solutions
Image Processing
Concept:
Take pictures on each side of the payload
Use image processing to detect horizon and position camera system correctly
Benefits:
Greater accuracy
Drawbacks:
Much higher cost
Measurements affected by rough terrain, clouds, and other obstructions
More processing power

8. Possible HDS Solutions (continued)
Thermopiles
Concept:
Measure temperature differential between the earth and sky
Use output voltage as feedback in order to position camera system correctly
Benefits:
Cheap implementation
Less complex
Reality check
Drawbacks:
Less accurate

9. HDS System Diagram

10. Market Research Horizon detection using imaging
More advanced image processing algorithms
Supercomputers to process data
Horizon detection using thermopiles
Lower altitude using a plane
Different control scheme

11. HDS Functional Requirements
HDS shall provide roll and pitch accurate to 3 degrees when operated between 20,000 and 30,000 ft.
HDS shall operate during the daytime hours with a sky of less than 30% cloud cover.
HDS shall receive power from a 11.1 V nominal lithium-ion battery.
HDS shall function for a minimum of 3 hours using a 4 Amp-hour battery pack.

12. HDS Non-functional Requirements
The weight of the payload shall be less than 4 lbs. 
The payload shall occupy less than 1 cubic foot

13. Project Plan Work breakdown Budget Thermopiles: Jesse
FPGA and Image Processing: Matt
MATLAB Image Processing: Andy, Shobhit
Technical manual, Gantt chart, and other documentation: Christina
Budget
Thermopile system: $100
Image Processing system: $300

14. Deliverables HDS Documentation Thermopile system
Design
Prototype
Proof of concept
Image processing system
Documentation
Operational manual