Training - Tuesday, April 28
Trainings are add-ons and not included in the Symposium Pass registration. Each training session is $25 for USGIF Members and $35 for USGIF Non-Members.
Afternoon Training Sessions
Genetic Resources for Innovation and Problem Solving (GRIPS) for GEOINT – The Aerospace Corporation
This training will discuss a decision support process that uses evolutionary algorithms to derive solution sets for complex problems involving multiple interrelated factors. Based on the principles of biological evolution, these algorithms naturally select the most suitable options within a large and complex design space. The goal of this training is to help decision makers understand the benefits and regrets of key trade-offs, building consensus, and making sound decisions supported by data.
Data Fusion in a Google Earth Environment –Thermopylae Sciences and Technology
Today’s intelligence analyst and warfighter operating at the edge have access to more robust and often custom or operator-directed data, and recent upgrades to Google Earth allow this data to be ingested and visualized within this popular software environment. This training will cover the collection/building management and hands-on fusion of data into Google Earth including 3D models, panoramic data, and custom, high resolution imagery. Topics such as UAS-directed collection, building 3D models in Pix4D, use of ATAK, collection and delivery cycles, and more will be covered.
Government Business 101 – National Geospatial-Intelligence Agency (NGA)
Government contracts represent a tremendous sales and revenue opportunity but contracting directly with the government can be daunting. Hear the basics on getting started as a government contractor, finding government customers and business opportunities, and finding resources that can help along the way. This course is intended for businesses new to government contracting, small businesses, entrepreneurs, and students. The course is led by NGA’s Office of Small Business Programs.
Spatial + AI Processing Using Popular Open Source Frameworks – Databricks
This is a hands-on training that serves to uniquely orient attendees to the landscape of big data, production-grade geospatial workloads, and ML/AI. The training would offer examples of ingesting various vector and raster spatial formats for distributed processing, join that data with other sources and sinks, offer examples of running distributed spatial operations, and advanced analytics techniques such as k-means clustering and image classification. The course material will provide an overview of managing the machine learning lifecycle – in line with building spatial analytics – using machine learning flow features for experiment tracking, projects, registry, and deployment.
Integrating AI for the Humanitarian Aid/Disaster Response Mission – Esri
This session will teach best practices for using native artificial intelligence and machine learning tools and methods for integrating popular libraries. Attendees will also learn how to apply AI and ML techniques to derive actionable insight from imagery and routing.
Simplifying Deep Learning for GEOINT Applications – L3Harris Technologies
Deep learning is being applied to all sorts of GEOINT applications. This seminar will look at some applications of deep learning using multiple sensor modalities ranging from panchromatic, multispectral, LiDAR, and SAR. We will also explore strategies and tools for creating training data.