Multi-sensor image mining (MSIM) provides analysts or tactical users with essential intelligence elements by automatically fusing and annotating multi-sensor imagery from ground-based, airborne, or space-borne sources.
MSIM is a human-guided algorithm that learns which features are salient. Because it is based on a paradigm of interactive examples and counter-examples, MSIM is extremely quick and easy to use on new problems, or to refine performance in dynamic situations.
MSIM has been used to find underground facilities, mines, camps, unhealthy vegetation, and many other types of ground features.
