Geospatial 2.0 Adrien Muller

Transcription

1 Geospatial 2.0 When Machine Learning meets Earth Observation imagery Adrien Muller Business Innovation Satellite Applications Catapult 13th June 2016

2 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

3 Geospatial 2.0: what is the scope? Manufacturing There is enormous potential Artificial for the Satellite Intelligence Industry. is disrupting several industries Imagery based businesses are ideal candidates. Images are at the heart The full potential of the Earth of Observation this revolution. sector Automotive can be realised as the human is taken out of the loop. Life Sciences

4 Blockers M A C H I N E L E A R N I N G ON- T H E - C L O U D I M A G E R Y C L O U D P R O C E S S I N G A W A R E N E S S Low Performance All on physical tapes One computer Business as usual NOW: Better than human NOW: Cloud NOW: GPUs in parallel NOW: Digitalisation area Building blocks are available, but need to be: 1/ applied to satellite imagery 2/ brought together!

5 The opportunity GEO-INFORMATION Labour intensive Machine Learning FEATURE EXTRACTION / CLASSIFICATION 3D RECONSTRUCTION Volume of images growing exponentially CHANGE DETECTION FORECAST

6 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

7 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

8 Geospatial 2.0 When machine learning meets Earth Observation imagery Sam Adlen Head of Business Innovation Satellite Applications Catapult Edmond Boulle Intellectual Property Manager Satellite Applications Catapult 13th June 2016

9 Key points 1. Catapult s Role and Strategy 2. Project examples 3. Tools to enable collaboration

10 Key points 1. Catapult s Role and Strategy 2. Project examples 3. Tools to enable collaboration

11 Satellite Applications Catapult ecosystem Space Growth Action Plan Compound Semi-conductor Medicine Technologies 40bn

12 To innovate for a better world empowered by satellites Programmes provide direction and focus Engagement with user community is fundamental

13 Enablers How do we intend to solve this? Develop ECOSYSTEM Develop a pipeline of QUALIFIED CHALLENGES PARTNERS and USE CASES Develop CAPABILITIES

14 Key points 1. Catapult s Role and Strategy 2. Project examples 3. Tools to enable collaboration

15 Examples of challenges FEATURE EXTRACTION / CLASSIFICATION CHANGE DETECTION FORECAST UNDERLYING TECHNICAL CHALLENGES 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) 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 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

16 Blue Economy: Example: Eyes on the Sea Expert Fisheries and Enforcement Analysts + Productivity Enhancing Technology = Analytical Support and Capacity Building 16

17 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

18 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

19 GBDX Digitalglobe / Catapult accelerator programme Digitalglobe Authorized user receives: - 8 GB Digitalglobe data access $$ Legal Framework agreement 15 authorised users - 33 GB 3 rd party data storage - 2 GB download rights Catapult - 1 Day Catapult technical support - 90 Days to use Derivative Works for customer evaluation End-user licence $ Simple Purchase Order Data credits + support Cost: 2,000 / Authorized User End-user Use by: 2 nd June 2017

20 GBDX Digitalglobe / Catapult accelerator programme Process 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

21 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

22 Thank you!

23 Group Discussion

24 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? -

25 Wrap-Up session

26 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 -

27 Thank you!