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Multimodal Remote Sensing Fusion Training
"Multimodal Remote Sensing Fusion Training" explores how to integrate data from multiple sensing platforms—optical, radar, thermal, and hyperspectral—for a unified, actionable view of operational environments. Attendees learn fusion techniques, temporal alignment, and real-time decision-support frameworks. The course emphasizes the need for cybersecurity protections in fusion systems, as manipulated or corrupted sensor feeds can lead to misinformed actions. Participants will explore secure architectures and validation strategies to ensure sensor data authenticity and operational integrity across distributed systems.
Course Overview
None
Learning Objectives
- Understand the principles of multimodal remote sensing data fusion.
- Analyze different fusion techniques for combining various sensor data.
- Evaluate the benefits of multimodal fusion for enhanced information extraction.
- Identify the challenges and considerations in multimodal data integration.
- Explore how secure fusion techniques are crucial for maintaining the integrity and cybersecurity of integrated remote sensing data.
Framework Connections
The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):
Competency Areas
Feedback
If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@mail.cisa.dhs.gov. Please keep in mind that NICCS does not own this course or accept payment for course entry. If you have questions related to the details of this course, such as cost, prerequisites, how to register, etc., please contact the course training provider directly. You can find course training provider contact information by following the link that says “Visit course page for more information...” on this page.