Merge traditional and non-traditional sensing methodologies (kinematic, participatory networks, social media, surveillance networks)

Exploit hyperspectral imagery

• Integrate with other data, GIS, etc.

• Add time (as described in photogrammetry)

• Exploit other information (culture, context, etc.)

Adaptive sensing (real-time) based on information value of sensor

Link the above with text information to aid classification and event and scenario recognition; link with visual analytics

Exploit atmospheric impacts as signals

Uses networks of “small satellites” to gain distributed data

Adapt products, tools to end user (first responder, soldier, analyst, etc.)

Emphasize multi-sensor fusion and information extraction

• Decrease uncertainty

• Exploit redundant capabilities

Greater utilization of state-of the art algorithms

• Estimation theory – statistics and electrical engineering

• Robust nonlinear optimization – numerical analysis

• Statistical sensor measurement models - nonlinear filtering

• Advanced software – Object oriented C++

Coordination with other government agencies

• DARPA, Air Force, Army, Navy

Exploitation of knowledge sources beyond image data mining; make relevant knowledge sources available; knowledge-based classification

Enhance change analysis – beyond the process of measurement and classification to dynamics, behavior, and prediction (issue of sensor control and tasking)

Need more than just the inanimate landscape, but also the dynamic, social environment (e.g., the flux of a living city) = GEOINT

Metadata and tagging – hey for fusion; relate to other non- GEOINT sources (semantic and tagging interoperability challenge)

Augmenting the image analyst –more tools, knowledge, visual analytics, automation, mining given a specific remote sensor

Infrastructure implications – data storage, distribution, and throughput to the analyst

• Remote sensing: We have lots of data (increased availability of commercially collected data). Can we analyze this data?

• Data collection agency, delivering tools for data analysis (multi-resolution, multi-sensor, multi-platform, multi-temporal, current and future sensor technologies – including new sensors that are not fully understood)