How AI Imaging Is Transforming Satellite Imagery
Data Science Conversations - Podcast autorstwa Damien Deighan and Philipp Diesinger
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In this episode we discuss the rapidly developing field of Satellite Imaging.Our guests on this show are Heidi Hurst & Jerry He. They are two remarkable industry Data Scientists with a strong academic pedigree and experience in the field of Satellite Image Processing. Heidi is based in Washington DC and Jerry is based in New York.Join us as they discuss their journey into Satellite Imaging and share with us the latest developments in this fascinating and evolving area of Data Science.Episode SummaryWhy is satellite image processing such an exciting field?What data sources is satellite image data based on?What are the challenges in using satellite image data?Sensors used in satellite imagingMethods used in satellite imaging - Image Processing, Deep Learning, CNNThe Socio-economic applicationsIndustry Applications for Satellite Imaging - Agriculture, Supply Chain monitoring, Sales Prediction, InsuranceThe Future of Satellite ImagingRESOURCES:Cool Visual - One Hour of active Satellites orbiting Earth:https://www.reddit.com/r/dataisbeautiful/comments/j7pj62/oc_one_hour_of_active_satellites_orbiting_earth/?utm_source=share&utm_medium=ios_app&utm_name=iossmf DOTA - https://captain-whu.github.io/DOTA/ - Open dataset for object detection in overhead imagery COwC - https://gdo152.llnl.gov/cowc/ - Cars Overhead with Context - specific detection dataset for car counting algorithms xView - http://xviewdataset.org/ - dataset put together by the National Geospatial Intelligence Agency for an object detection challenge, including some particularly rare classes
