The ISR data format includes in authors point of view: the structured data, unstructured (text) data and Big Data. The important focus in the paper is oriented on the NATO ISR data standards. Paper summarizes methods, tools, and experiences in ISR (Intelligence, Surveillance, and Reconnaissance) data and information processing in military operations. This review paper is an extension of work originally presented in the 7th International Conference on Military Technologies.
The Big Data experiment is realized in Apache Hadoop. Results are visualized in RapidMiner Studio. The ISR data mart experiment processes the radio transmission data that consists of detected radio signals. The last two chapters are focused on the description of research results in the processing of ISR data. The last part is oriented to Big Data processing NoSQL, in-memory and streaming databases.
The ISR operational picture is explained, and steps of the ISR data mart is completed. The next chapter describes the ISR data processing in detail there are listed structures, formats, standards, and data from the operational point of view. The literature review is oriented to the analysis of intersections between ISR and BI methods. The steps of the Intelligence cycle and disciplines Business Intelligence (BI), Data Warehousing, Data Mining, and Big Data are presented in the introduction. This paper provides an overview of Intelligence, Surveillance, and Reconnaissance (ISR) data with respect on NATO standards and recommendations further presents methods, tools, and experiences in ISR data processing in military operations.
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