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Large Scale Datasets for Analytics on Satellite Imagery

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Gopal Erinjippurath, Senior Director, Analytics Engineering, Planet Inc.

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Large Scale Datasets for Analytics on Satellite Imagery

  1. 1. Kure Atoll, Hawaii, USA – May 12, 2016 Large Scale Datasets for Object Detection in Satellite Imagery Gopal Erinjippurath, Senior Director, Analytics Engineering 14 Nov 2018
  2. 2. IN THE SPAN OF A DAY OR WEEK OR MONTH… An illegal logging road
 appears in the rainforest... and 1,000-year-old trees 
 are lost forever. IN THE SPAN OF A DAY OR WEEK OR MONTH…
  3. 3. A plane departs 
 from a location of interest — and a military 
 loses situational awareness.
  4. 4. IN THE SPAN OF A DAY OR WEEK OR MONTH… A community
 is devastated by a natural disaster... and the local government lacks the ability 
 to deploy emergency 
 responders effectively.
  5. 5. MISSION To image the whole world every day, making change visible, accessible and actionable.
  6. 6. 130+ RapidEye Satellites5 SkySat Satellites13Dove Satellites PlanetScope Planet Constellations
  7. 7. 10cm 10cm 30cm
  8. 8. VIDEO PLACEHOLDER NEW LINE SCANNER VIDEO
  9. 9. Planet Imagery www.developers.planet.com
  10. 10. ENERGY & INFRASTRUCTUREDEFENSE & INTELLIGENCE FORESTRY FINANCE & BUSINESS INTELLIGENCEINSURANCE EMERGENCY MANAGEMENT CIVIL GOVERNMENT AGRICULTURE MAPPING
  11. 11. Space + ML VISION
  12. 12. Web Platform for Geospatial Analytics Planet Doves RapidEye SkySat (TerraBella) Landsat 8 Sentinel 2 Customer Data GEOSPATIAL DATA AUTOMATED DATA PIPELINE & ANALYTICS APPLICATIONS Analytics Customer Algorithms Image Processing 3rd Party Applications Direct Data Access Via Web
  13. 13. Building a Disasters DataSet
  14. 14. Disasters AOIs
  15. 15. Example Disaster AOI (Hurricane Irma, Sept 2017)
  16. 16. SkySat Scene Strip PlanetScope Scene (ISO orbit) PlanetScope Scene (SSO orbit) SkySat Sample (Harbor) Example Disaster AOI (Hurricane Irma, Sept 2017)
  17. 17. Example Disaster AOI (Hurricane Irma, Sept 2017)
  18. 18. Disaster AOIs Public Dataset OSM Filtering Scene Level Sampling Chipping Crowd Annotation Object specific Instructions and test Qs Expert Curation Expert reference and training set Gold Standard Dataset Chip-level Post Filtering Public Dataset Data Collection Funnel
  19. 19. Disaster AOIs Public Dataset OSM Filtering Scene Level Sampling Chipping Crowd Annotation Object specific Instructions and test Qs Expert Curation Expert reference and training set Gold Standard Dataset Chip-level Post Filtering Public Dataset AOI Available PS Scenes Scenes Intersecting with OSM Mask for Railway Vehicle A PS scene intersecting with OSM Mask chipped into grids Final Chips used for annotation Data Collection Funnel
  20. 20. Aircraft WatercraftBuilding Miscellaneous Small Aircraft Passenger Aircraft Small Boat Maritime Vessel Cargo Ship Residential Hotel Restaurant Office Worship Silo Storage Tank Railway Vehicle Swimming Pool Parking Lot Baseball Field Shipyard Shipping Container Vehicle Disasters Ontology (SS)
  21. 21. Aircraft WatercraftBuilding Miscellaneous Small Boat Maritime Vessel Parking Lot Shipyard Disasters Ontology (PS)
  22. 22. Examples (Planes)
  23. 23. Examples (Railway Vehicles)
  24. 24. Examples (Buildings)
  25. 25. Planet Number of Categories DataSet Size
  26. 26. Planet Number of Categories DataSet Size
  27. 27. Characterizing Model Performance
  28. 28. Disaster AOIs Data Collection Data Management Model Development Model Evaluation Performance Evaluation Labelled Chips Labelled Collections Baseline Model Inferences Ground Truth Engineering Workflow
  29. 29. Baseline Model Performance
  30. 30. Baseline Model Performance
  31. 31. Performance Characterization over different sizes
  32. 32. PR Curve for Models with different thresholds
  33. 33. Containers Rail cars Ships Cars Buildings
  34. 34. Vessel_name: BIRITE OLDENDORFF Callsign: CQIC5 Vessel_type: Cargo
 Flag_country: Portugal
 Destination: Oakland Heavy Traffic Light Traffic Telemetry / Cellphone Data
  35. 35. Planet Offices
  36. 36. South Passage, Australia – October 1, 2015 Thank You! Reach out at gopal@planet.com Open Positions: Machine Learning Engineer Software Engineer, Machine Learning Infrastructure Full Stack Geospatial Engineer, Analytics Services www.developers.planet.com | API Documentation www.planet.com/markets/education-and-research | Research Projects
  37. 37. Planet Stories Blog Spatiotemporal Analytics on Geospatial Imagery Planet Developer Center and Data API Education and Research using Planet Imagery Additional Resources Proprietary and Confidential - not to be distributed


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