Big Data and Deep Analytics Applied to the Common Tactical Air Picture (CTAP) and Combat Identification (CID)

Ying Zhao, Tony Kendall, Bonnie Johnson

2016

Abstract

Accurate combat identification (CID) enables warfighters to locate and identify critical airborne objects as friendly, hostile or neutral with high precision. The current CID processes include processing and analysing data from a vast network of sensors, platforms, and decision makers. CID plays an important role in generating the Common Tactical Air Picture (CTAP) which provides situational awareness to air warfare decision-makers. The Big “CID” Data and complexity of the problem pose challenges as well as opportunities. In this paper, we discuss CTAP and CID challenges and some Big Data and Deep Analytics solutions to address these challenges. We present a use case using a unique deep learning method, Lexical Link Analysis (LLA), which is able to associate heterogeneous data sources for object recognition and anomaly detection, both of which are critical for CTAP and CID applications.

Paper Citation

in Harvard Style

Zhao Y., Kendall T. and Johnson B. (2016). Big Data and Deep Analytics Applied to the Common Tactical Air Picture (CTAP) and Combat Identification (CID) . In Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2016) ISBN 978-989-758-203-5, pages 443-449. DOI: 10.5220/0006086904430449

in Bibtex Style

@conference{kdir16,
author={Ying Zhao and Tony Kendall and Bonnie Johnson},
title={Big Data and Deep Analytics Applied to the Common Tactical Air Picture (CTAP) and Combat Identification (CID)},
booktitle={Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2016)},
year={2016},
pages={443-449},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006086904430449},
isbn={978-989-758-203-5},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2016)
TI - Big Data and Deep Analytics Applied to the Common Tactical Air Picture (CTAP) and Combat Identification (CID)
SN - 978-989-758-203-5
AU - Zhao Y.
AU - Kendall T.
AU - Johnson B.
PY - 2016
SP - 443
EP - 449
DO - 10.5220/0006086904430449