IEEE Pikes Peak Section Presentation: Automatic Detection of Wildfire Through Spectral Analysis of Aerial Images
Abstract: This paper proposes extending the threshold filtering technique on color images of three-dimensional RGB pixels to detect fire in order to take advantage of the computational efficiency of the technique. In this extension, the three-dimensional color spectrum is analyzed for detection of fire, and set theory is used to analytically describe a bounded region in a three-dimensional space. Additionally, the K-Mean clustering technique normally used effectively for segmentation is extended from identifying a cluster by it center point to identifying a cluster’s center with a set to allow flexibility in the initialization process and faster converging rate when initial condition was accurately assessed. A specific structure of an image into three segments of flame, smoke, and everything else is formulated mathematically to eliminate the need of prior establishing the condition of fire normally required for the K-Mean segmentation. Together, the combination of multi-dimensional threshold filter, K-Mean clustering based on set theory, and three-part segment structuring offers closed form analytical is effective in detection of fire, efficient in computational requirement, and capable of handling extreme cases normally not feasible with traditional K-Mean segmentation. Abstract functional analysis is provided to demonstrate the convergence of the segmentation process. Numerical examples are given to illustrate the concept of fire detection through spectral analysis of aerial images, and to demonstrate the workability of the solution.
Meeting Details: Attendance is free to both IEEE members and non-members. Pizza and beverages (soda and water) will be provided. A $5.00 donation from non-members would be greatly appreciated to defer costs. Please register at the below URL as seating is limited. Simply click on the link to be taken to the registration web page. Questions should be addressed to Russ Bogardus at russbogardus@comcast.net or (719) 337-6328.
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Date and Time
Location
Hosts
Registration
- Date: 14 Jun 2014
- Time: 12:00 AM UTC to 02:30 AM UTC
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- 11195 Highway 83
- Colorado Springs, Colorado
- United States 80921
- Building: Main Building - Lower Level
- Room Number: W-101
- Click here for Map
- Contact Event Host
- Russ Bogardus at russbogardus@comcast.net or (719) 337-6328
- Co-sponsored by IEEE PPS Computer Society
Speakers
Dr. Trung Pham
Automatic Detection of Wildfire through Spectral Analysis of Aerial Images
Biography:
Trung T. Pham received his B.S. (Texas Valedictorian Scholarship, Texas UIL Mathematics Scholarship, Rice Endowment Scholarship), M.S. (Office of Naval Research Fellowship), and Ph.D. (NASA Fellowship) in electrical & computer engineering from Rice University in Houston, Texas, and his M.B.A. (McDonnell Douglas Scholarship) from the University of Houston, also in Houston, Texas. He had worked as a research engineering specialist for Lockheed Engineering & Sciences and McDonnell Douglas Aerospace at NASA Johnson Space Center for many years while teaching part-time at the University of Houston. He is currently teaching at the University if Talca in Chile, and is the Director/Principal Investigator of the Chile CONICYT’s FONDEF project ($400K USD) of encrypting data on RFID to authenticate Chilean wine. This year, Trung was awarded the Best Professor of the Year, based on the evaluation of the students. Trung is a Senior Member of the IEEE and a Senior Member and Director of the Robotics and Expert Systems Division (ROBEX) of the International Society of Instrumentation. Dr. Pham has authored four books covering the topics of fuzzy logic and technical management.
Address: Chile
Address:Chile
Agenda
6:00 - 6:30 Meeting meet and greet. Pizza and beverages available.
6:30 - 8:00 Presentation
8:00 - 8:30 Dr. Pham available for questions