Geospatial 2.0
When Machine Learning meets Earth
Observation imagery
Adrien Muller
Business Innovation
Satellite Applications Catapult
13th June 2016
Agenda
10:00 – 10:10
Welcome and introduction
• Adrien Muller, Business Innovation, Satellite Applications Catapult
10:10 – 10:50
Setting the scene for Geospatial Big Data
• Luca Perletta, Sales Engineering Manager, DigitalGlobe
• Sam Adlen, Head of Business Innovation, Satellite Applications Catapult
• Edmond Boulle, Intellectual Property Manager, Satellite Applications Catapult
10:50 – 11:00
Coffee break
11:00 – 12:00
Speaker presentations
• Daniel Plant - Commercial Director, Terrabotics.
• Alexis Smith - CEO, Intelligent Modelling.
• Prof. Steven Reece - Senior Research Fellow, Oxford University.
• Abhinav Jain - CEO, PowerMarket.
12:00 – 12:20
Group Discussion
12:20 – 12:30
Feedback and wrap up session
12:30 – 13:30
Lunch and networking
Geospatial 2.0: what is the scope?
Manufacturing
Intelligence
There is enormous potential Artificial
for the Satellite
Industry.
is disrupting several
industries
Imagery based businesses are ideal candidates.
Images are at the heart
The full potential of the EarthofObservation
this Automotive
revolution.sector
can be realised as the human is “taken out of the loop”.
Life Sciences
Blockers
MACHINE
LEARNING
ON-THE-CLOUD
IMAGERY
CLOUD
PROCESSING
AWARENESS
Low Performance
NOW:
Better than human
All on physical tapes
NOW:
Cloud
One computer
NOW:
GPUs in parallel
Business as usual
NOW:
Digitalisation area
Building blocks are available, but need to be:
1/ applied to satellite imagery
2/ brought together!
The opportunity
GEO-INFORMATION
Labour intensive
Machine
Learning
FEATURE EXTRACTION /
CLASSIFICATION
3D RECONSTRUCTION
CHANGE DETECTION
FORECAST
Volume of images
growing exponentially
Success stories examples – it’s getting hot!
And this is just a small sample!....
Success = 4 elements meet
- Customer challenges
- Data is available
- Smart research is done
- Commercial solution offered
=> This is why we are bringing this
community together
Today’s objectives
1. Share vision
•
•
•
Define scope: what is at the crossing of “Machine Learning” and “Earth Observation”?
Set challenges: examples of problems that could be solved
Agree targets: what could success look like?
2. Share methodology
•
•
•
Create a community: data providers, academics, solution providers, end-users
Share collaboration tools: workshops, catalytic funding, incubators, competitions...
Trigger projects: spark ideas, start partnerships
Geospatial 2.0
When machine learning meets Earth
Observation imagery
Sam Adlen
Head of Business Innovation
Satellite Applications Catapult
13th June 2016
Edmond Boulle
Intellectual Property Manager
Satellite Applications Catapult
Key points
1. Catapult’s Role and Strategy
2. Project examples
3. Tools to enable collaboration
Key points
1. Catapult’s Role and Strategy
2. Project examples
3. Tools to enable collaboration
Satellite Applications Catapult ecosystem
Space Growth
Action Plan
2014-2030
Compound Semi-conductor
Medicine Technologies
£40bn
To innovate for a better world empowered by satellites
Programmes
provide direction
and focus
Engagement with
user community is
fundamental
Enablers
How do we intend to solve this?
Develop
ECOSYSTEM
Develop a pipeline of
QUALIFIED CHALLENGES
PARTNERS and USE
CASES
Develop
CAPABILITIES
Key points
1. Catapult’s Role and Strategy
2. Project examples
3. Tools to enable collaboration
Examples of challenges
FEATURE EXTRACTION / CLASSIFICATION
Maritime surveillance: automatic ship
detection
Urban extend: land-cover classification as
economic development proxy
Buildings: baseline identification and 3D
reconstruction with multi-views
Oil slick: NRT detection and classification of
pollution/wave shadows/algae
Smart Catalogue: count objects and distances
(e.g. military/civil aircraft)
CHANGE DETECTION
Airport database: monthly
update of map with
extreme precision
Water body: flood extend
mapping for emergency
response or insurance
UAV Video analysis: NRT
object detection and
classification on UAV video
feeds
FORECAST
UNDERLYING TECHNICAL CHALLENGES
Crop Yield: local or national
forecast based on statistics
and imagery stacks
Weather: predictions based
on large statistics and
heterogeneous inputs
Shadows recognition: key imagery
preparation before applying value add
steps
Cloud detection: key imagery preparation
before applying value add steps
Auto-locate: positioning of poorly
georeferenced image against high-res
reference
Ground Control Points: matching of
corresponding points in pairs of images
Blue Economy: Example: Eyes on the Sea
• Expert Fisheries and
Enforcement Analysts
+
• Productivity Enhancing
Technology
=
• Analytical Support and
Capacity Building
16
https://www.youtube.com/watch?v=Mz9xysVIrUU
Government Services: Example: MK Smart
• Change Detection
•
•
algorithms based on
EO imagery
+
Datahub (food
provision;
pollination; air
quality; soil function;
water quality; and
carbon storage)
=
Urban Planning Tool
for effective
enforcement
17
Key points
1. Catapult’s Role and Strategy
2. Project examples
3. Tools to enable collaboration
–
–
GBDX Digitalglobe / Catapult partnership
Workshops, Catalytic projects, Incubator, competitions
GBDX Digitalglobe / Catapult “accelerator” programme
Digitalglobe
$$
Legal Framework agreement
15 authorised users
Catapult
End-user
licence
$
End-user
Simple Purchase Order
Data credits + support
Authorized user receives:
- 8 GB Digitalglobe data access
- 33 GB 3rd party data storage
- 2 GB download rights
- 1 Day Catapult technical support
- 90 Days to use Derivative Works for
customer evaluation
Cost:
Use by:
£2,000 / Authorized User
2nd June 2017
GBDX Digitalglobe / Catapult “accelerator” programme
Process
1
2
3
4
5
Come &
talk to us
DG review
process
Fee
payment
Sign end-user
licence
Authorised,
credentials given
Benefits
low financial threshold
low legal threshold
low technical threshold
£2000 to start testing (lower than DG min entry fee)
Predefined documents, no lawyer needed
Local Catapult technical team in support
Other tools to foster the community
-
Networking events and Workshops
Spin-up Factory / Scale-up Programme
Catalytic funding and co-investments in demonstrators
Develop
ECOSYSTEM
Develop a pipeline of
QUALIFIED CHALLENGES
PARTNERS and USE
CASES
Develop
CAPABILITIES
Thank you!
Group Discussion
Group discussion
Logistics
- 15mins, 4 groups (one in each corner of the room)
- Moderator driving the debate and taking notes
Ideas of subjects to discuss
- Ideas of projects / applications you’d like to start?
- Direction this community should take? Topics to cover in next session?
- Meet-ups / Mailinglist / Sharepoint?
- …
Wrap-Up session
Wrap up and next steps
Take aways
• We would be delighted to have you in the Community. Join today!
• Please let us know what you need & what value you see in the concept
• Suggest project and collaborations ideas, this is what we are looking for!
Next time…
- Autumn session in October, in London
- Digitalglobe Computer Vision competition
- …
Thank you!