Puolustuksen tiedustelutietoohjelmisto

Defense intelligence software ingests multi-source data — SIGINT, IMINT, HUMINT, OSINT, sensor feeds — and turns it into a fused, queryable picture for analysts and commanders. Core components include collection adapters, a data-fusion layer (typically aligned to the JDL model), a geospatial store like PostGIS, and visualization on a Common Operational Picture.

Data fusion combines heterogeneous inputs — radar tracks, RF intercepts, satellite imagery, reports — into a coherent operational view. The JDL Data Fusion Model formalizes this in six levels (0 through 5), from source pre-processing and object refinement up to situation, impact, and process refinement.

SIGINT is the umbrella for all signals intelligence; ELINT covers non-communications emissions such as radar and weapon-system signals; COMINT covers intercepted voice and data communications. Fusing ELINT with COMINT produces a fuller picture of adversary capability and intent than either discipline yields alone.

Passive RF geolocation estimates an emitter's position from multiple synchronized receivers using techniques like TDOA (time difference of arrival), AOA (angle of arrival), and FDOA (frequency difference of arrival). Direction-finding networks typically combine two or more of these methods to bound the emitter location with manageable error ellipses.

Pattern-of-life analysis builds a behavioral baseline for entities — vehicles, units, individuals — from multi-source tracking data, then flags anomalies against that baseline. It commonly relies on event-sourced movement histories, geospatial dwell analysis, and ML-based anomaly detection on top of the fused intelligence picture.