#4 Analysis At All Angles: SpaceNet 4 And Off Nadir Imagery Training_Data podcast

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Profits Through Podcasting

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Profits Through Podcasting is your go-to resource for turning engaged listeners of your health-focused podcast into paying clients. Learn from health and wellness entrepreneurs who successfully employ a podcast as their main marketing tool, generating quality leads and growing their business. Whether you're a doctor, chiropractor, clinician, health business coach, therapist, or an entrepreneur in any other health or wellness related field, so long as you have a podcast, Profits Through Podcasting is for you! Host Joel Oliver, owner of East Coast Studio, has assisted hundreds of entrepreneurs in producing successful podcasts. Hear their stories and strategies and find out how to turn your health-focused podcast into a lead-generating machine while growing your authority.

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#4 Analysis at All Angles: SpaceNet 4 and Off Nadir Imagery

6 years ago 38:51

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30 episodes

#Open Source #CosmiQ Works #Arts

Training_Data podcast artwork

#4 Analysis at All Angles: SpaceNet 4 and Off Nadir Imagery

14 subscribers

published 6 years ago

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Content provided by CosmiQ Works. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by CosmiQ Works or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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30 episodes

#Open Source #CosmiQ Works #Arts

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Training_Data

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#29 Celebrating CosmiQ Works 1:14:44

4 years ago1:14:44

1:14:44

Founded in 2015 as part of IQT Labs, CosmiQ Works launched to focus on the geospatial analytics market and provide technical insights, targeted research, reports, and more. Over the past six years CosmiQ has produced many projects and insights that have helped the intelligence and academic communities better understand how geospatial can help tackle hard problems. Our final Training_Data podcast brings together CosmiQ's current colleagues and alum in a special episode celebrating the team's key accomplishments, milestones, and lessons learned through the years.…

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#28 Introducing the SpaceNet 7 Challenge: Multi-Temporal Urban Development 50:54

5 years ago50:54

50:54

Satellite imagery analytics have numerous human development and disaster response applications, particularly when time series methods are involved. The Multi-Temporal Urban Development SpaceNet 7 Challenge focuses on developing novel computer vision methods for non-video time series data, asking participants to identify and track buildings in satellite imagery time series collected over rapidly urbanizing areas. In this episode, CosmiQ’s Ryan Lewis, Adam Van Etten, and Daniel Hogan are joined by Planet’s Jesus Martinez Manzo and AWS Disaster Response’s Grace Kitzmiller to explore this new challenge. Learn more at www.spacenet.ai , and at the DownLinQ ( https://medium.com/the-downlinq )…

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#27 SpaceNet 6: The Multi-Modal Extravaganza Family Hour 36:15

5 years ago36:15

36:15

CosmiQ’s Jake Shermeyer and Daniel Hogan are joined by Capella Space’s Jason Brown and IEEE Geoscience and Remote Sensing’s (GRSS) Ronny Hänsch to once again discuss the SpaceNet 6 Dataset and post-challenge experiments. Learn more about data fusion and deep learning approaches that work to blend synthetic aperture radar (SAR) and optical imagery. Additionally, the podcast also explores the value of frequent SAR revisits that can be beneficial for foundational mapping applications. Finally, the group discusses CosmiQ’s new addition to the Solaris python package: a multi-modal pre-processing library and a new API called ‘PipeSegment’ for seamlessly stringing together different operations. SpaceNet is a nonprofit made possible by co-founder and managing partner, CosmiQ Works; co-founder and co-chair, Maxar Technologies; and all the other Partners: Amazon Web Services (AWS), Capella Space, Topcoder, IEEE Geoscience and Remote Sensing (GRSS), the National Geospatial-Intelligence Agency, and Planet.…

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#26 SpaceNet 6 Challenge Results: Multi-Sensor All-Weather Mapping 38:43

5 years ago38:43

38:43

SpaceNet is a non-profit dedicated to accelerating open source, applied research in geospatial machine learning. In this episode, CosmiQ’s Ryan Lewis, Jake Shermeyer, and Daniel Hogan discuss the SpaceNet 6 Challenge where participants were asked to automatically extract building footprints with computer vision and AI algorithms using a combination of synthetic aperture radar (SAR) and electro-optical imagery. Hear about the challenge’s winning artificial intelligence models and the tradeoff between inference speed and model performance. SpaceNet is made possible by co-founder and managing partner, CosmiQ Works; co-founder and co-chair, Maxar Technologies; and all the other Partners: Amazon Web Services (AWS), Capella Space, Topcoder, IEEE Geoscience and Remote Sensing (GRSS), the National Geospatial-Intelligence Agency, and Planet. Learn more at www.spacenet.ai , and at the DownLinQ ( https://medium.com/the-downlinq )…

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#25 Evaluating SpaceNet 5 Challenge Results: Road Network Detection & Optimized Routing 54:14

5 years ago54:14

54:14

Despite its application to myriad humanitarian and civil use cases, automated road network extraction from overhead satellite imagery remains quite challenging. However, the SpaceNet 5 challenge made significant progress in this field with top participants being able to extract both road networks and speed/travel time estimates for each roadway. On today’s pod, CosmiQ’s Ryan Lewis and Dr. Adam Van Etten explore the challenge’s unique dataset and geographic diversity over time, the winning models, and the tradeoff between inference speed and model performance. SpaceNet is a non-profit LLC co-founded and managed by In-Q-Tel's CosmiQ Works in collaboration Maxar Technologies, a co-founder, and the other SpaceNet Partners including AWS, Intel AI, Topcoder, Capella Space, IEEE GRSS, The National Geospatial-Intelligence Agency (NGA), and Planet.…

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#24 Viewing the World Through a Straw 37:15

5 years ago37:15

37:15

How can lessons from geospatial computer vision applications impact bio image analysis? CosmiQ’s Dr. Nick Weir and B.Next’s Dr. Dylan George explore the intersection of these two fields and why artificial intelligence (AI) has struggled to gain traction with both satellite imagery and medicine. Hear about their project that researched similarities and differences between satellite imagery, microscopy, and “normal” photographs, and why researchers developing AI methods for microscopy might want to leverage the work done for geospatial applications. Read more about their project at The DownLinQ and BioQuest : · Viewing the World Through a Straw, Part 1 · Viewing the World Through a Straw, Part 2…

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#23 Into the Gray Zone: Emerging Technology’s Role in the Geopolitical Landscape 40:00

5 years ago40:00

40:00

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#22 Machine Learning Robustness Study: Building Out an Increasingly Diverse Dataset 29:22

5 years ago29:22

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#21 Announcing SpaceNet® 6: Multi-Sensor All Weather Mapping 41:47

5 years ago41:47

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Season 1 Sign Off 1:20

5 years ago1:20

1:20

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#20 LIVE from the Topcoder Open 2019 29:26

5 years ago29:26

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#19 Implementing AI Projects: Lessons Learned & Emerging Trends 38:23

5 years ago38:23

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#18 Contributing to Open Source Through Hacktoberfest 38:37

5 years ago38:37

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#17 Geospatial Analytics for the Masses with CARTO 44:56

5 years ago44:56

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#16 Venture Capital Investing in Commercial Space & Beyond 43:52

6 years ago43:52

43:52

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