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

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

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.

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

System Overview

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

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

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

HDS System Diagram

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

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.

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

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

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