ATR architecture for multisensor fusion

Mark K. Hamilton; Teresa A. Kipp

doi:10.1117/12.243154

14 June 1996 ATR architecture for multisensor fusion

Mark K. Hamilton, Teresa A. Kipp

Proceedings Volume 2755, Signal Processing, Sensor Fusion, and Target Recognition V; (1996) https://doi.org/10.1117/12.243154
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

Abstract

The work of the U.S. Army Research Laboratory (ARL) in the area of algorithms for the identification of static military targets in single-frame electro-optical (EO) imagery has demonstrated great potential in platform-based automatic target identification (ATI). In this case, the term identification is used to mean being able to tell the difference between two military vehicles -- e.g., the M60 from the T72. ARL's work includes not only single-sensor forward-looking infrared (FLIR) ATI algorithms, but also multi-sensor ATI algorithms. We briefly discuss ARL's hybrid model-based/data-learning strategy for ATI, which represents a significant step forward in ATI algorithm design. For example, in the case of single sensor FLIR it allows the human algorithm designer to build directly into the algorithm knowledge that can be adequately modeled at this time, such as the target geometry which directly translates into the target silhouette in the FLIR realm. In addition, it allows structure that is not currently well understood (i.e., adequately modeled) to be incorporated through automated data-learning algorithms, which in a FLIR directly translates into an internal thermal target structure signature. This paper shows the direct applicability of this strategy to both the single-sensor FLIR as well as the multi-sensor FLIR and laser radar.

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Mark K. Hamilton and Teresa A. Kipp "ATR architecture for multisensor fusion", Proc. SPIE 2755, Signal Processing, Sensor Fusion, and Target Recognition V, (14 June 1996); https://doi.org/10.1117/12.243154

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KEYWORDS

Detection and tracking algorithms

Model-based design

Forward looking infrared

Electro optical modeling

Sensors

LIDAR

Data modeling

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