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2017 CIRN Boot Camp
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Thank you to everyone who organized and attended the 1st Annual CIRN Bootcamp, held March 27-29, 2017 at the USACE Field Research Facility in Duck, NC. It was a huge success!
The goal of the boot camp was to provide both the background and hands on experience in working with coastal imaging for new users. Attendees collected UAV data of the surf-zone at the FRF, then learned how to process and analyze the data using the UAV and cBathy toolboxes.
To download the workshop materials, click HERE (request access to [email protected])
8:00 coffee and snacks
8:30 Kate, Meg – Welcome, goals and logistics
8:45 Jeff W – Welcome to the FRF
8:50 Rob – Background and History of Argus
9:10 Meg – CIRN - now and future plans
9:25 John S – How cameras work
9:45 Rob H – Camera model and homogeneous coordinates
10:25 Coffee Break
10:40 Rob H – Lens distortion
11:00 All – PRACTICUM – GitHub, File Organization, & UAV Lens Calibration (Allison)
12:30 Lunch
1:15 John and Nick – UAV flight class
1:45 All – PRACTICUM – UAV flight and data collection (John, Rob, Shawn, Nick)
3:00 Rob H – Geometry solution approaches
3:30 Rob H – Virtual GCPs
3:45 Coffee Break
4:00 All – PRACTICUM – Solving UAV geometries (Meg)
8:30 coffee and snacks
9:00 John S – Data archiving and naming conventions and organizing our lab data sets
9:30 John S and Shawn – extracting frames from video
10:00 Rob H – Rectification and merges
10:30 Coffee Break
10:50 All – PRACTICUM – make a rectification (Kate)
12:00 Lunch
1:00 Rob H – Image Products (timex, bright, etc)
1:40 Rob H – Pixel time series and pixel tools
2:45 All – PRACTICUM – designing and extracting Argus products from a UAV video (Shawn)
8:30 coffee and snacks
9:00 Rob H – The cBathy algorithm
10:00 All – PRACTICUM – cBathy analysis from UAV data (Rob, Kate, Meg)
11:00 Rob H – cBathy debugging capabilities
12:00 Meg and Kate – Closing comments
12:10 Lunch (on your own)
1:00++ All – Informal discussions and work groups.
This boot camp is designed to be hands on, carrying out a full suite of analyses on data that you will collect from UAVs during the course. So it will be important to arrive prepared, as per below:
- Argus algorithms are currently written in Matlab. Everyone should have a licensed copy of Matlab on their laptop including the Statistics and Machine Learning Toolbox. We expect attendees to have reasonable Matlab fluency. For students with less comfort in Matlab, we can work in teams.
- You should have downloaded all of the CIRN toolboxes from the CIRN GitHub site and have them in your Matlab path.
- You should download the Caltech lens distortion toolbox
- You should have enough disk space to handle some multi GB data files.
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