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Structure-from-Motion, Grand Canyon style

Daniel Buscombe
December 07, 2016

Structure-from-Motion, Grand Canyon style

Presented at the Pacific Coastal and Marine Science Center USGS Santa Cruz, CA, Dec 7 2016

Daniel Buscombe

December 07, 2016
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  1. Large-scale SfM: Grand Canyon style Daniel Buscombe, U.S. Geological Survey

    & Northern Arizona University, Flagstaff, AZ Rebecca Rossi, Utah State University, Logan, UT Paul Grams, U.S. Geological Survey, Grand Canyon Monitoring and Research Center, Flagstaff, AZ RSCC Workshop, USGS Santa Cruz, 7 December 2016 RM145, October 2015 ~10M points
  2. RM145, October 2015 ~10M points Opportunities I: Automated feature extraction

    (mechanistic segregation) RM119, October 2015 ~43M points “intertidal” zone eroding bluffs vegetated aeolian surfaces water talus flat sand cut bank boulders
  3. Opportunities II: What’s the grain size of this debris fan?

    RM166, October 2015 ~115M points www.digitalgrainsize.org
  4. RM91, October 2014 ~8M points RM91, October 2015 ~19M points

    Challenges II: Shadows can make automated classification difficult
  5. PySESA • Toolbox for statistical analysis of point clouds •

    Command-line python routines (with computationally demanding bits compiled) • Generic in design and application For SfM: • Point cloud decimation • Exploratory data analysis • Point cloud cleaning • Point cloud classification http://dbuscombe-usgs.github.io/pysesa/ Buscombe (2016) Computers & Geosciences
  6. From each data window Up to 34 metrics (spatial and

    spectral) http://dbuscombe-usgs.github.io/pysesa/
  7. PySESA - SfM • Works on multiple dependent variables (z,

    r, g, b) • “red roughness”, “green skewness”, etc • Converts colorspaces (rgb to hsv, ycc, lab, etc) • Building in tools for supervised classification (needs calibration, lots of different types of data)
  8. RM145, October 2015 ~10M points Daniel Buscombe, U.S. Geological Survey

    & Northern Arizona University, Flagstaff, AZ Rebecca Rossi, Utah State University, Logan, UT Paul Grams, U.S. Geological Survey, Grand Canyon Monitoring and Research Center, Flagstaff, AZ Thanks: Joe Wheaton (USU), Joe Hazel, Matt Kaplinski, Ryan Lima (NAU) RSCC Workshop, USGS Santa Cruz, 7 December 2016