SES13- Autonomous Sensing of Targets with ALL-INT Fusion Capabilities for Immediate Workforce Engagement

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Originally Aired - Tuesday, April 26 7:30 AM - 8:30 AM

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Event Location

Location: Willow Lake 5


Event Information

Title: SES13- Autonomous Sensing of Targets with ALL-INT Fusion Capabilities for Immediate Workforce Engagement

Description:

Description:  The DoD/IC ISR enterprise needs to detect, track, and target objects and threats using space-based, tactical ISR for global operations. With the increasing capability of our near-peer competitors’ anti-access/area denial strategies and the need to maintain hegemony, the DOD/IC needs to navigate problem sets as complex, layered global ecosystems using spaced based data. This threat includes ever expanding 5G technologies which have greatly increased the “attack surface”, populated with a massive number of IoT devices, cloud-based deployments, and third-party applications making it extremely difficult to characterize environments and areas of interest. One of the main challenges is the ability to utilize multimodal, ALL-INT data fusion techniques to produce actionable information across the integrated battlespace with demonstratable ways to develop and visualize targets. 

The objective of this training is to demonstrate machine learning (ML)-based analytic approaches and computational methods for autonomous detection and tracking observed by earth observation satellites as well as SATCOM data. By taking this training the learner will be able to observe how this challenge is addressed and moves beyond the current state-of-the art in traditional space-based sensing systems and ground-based data processing, exploitation, and dissemination (PED) into a highly agile sensing system with an autonomous machine learning (ML)-based analytics architecture for detecting and tracking objects and targets derived from satellite EO/IR imagery and ALL-INT fusion and its place in and support of DOD/IC GEOINT workforce development.

Learning Objectives:

  • Provide an overview of the commercial earth observation and 5G and IoT potential attack threat surfaces
  • Overview and demo of building, training, and deploying ML techniques on static objects to develop target and tracking indicators
  • Demonstrate ways in which autonomous sensing is utilized across deployed environments. 

* No prerequisite knowledge, skills, or tools are required for this training session

*Please bring your laptop; documentation and training materials will be provided 

To sign up for this training session, click on the link below to access the registration portal:

https://usgif.org/symposium-training/

Type: Training Session


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