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)