Image Fusion paper, 2000

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Title:

Image fusion of II and IR data for helicopter pilotage

Abstract:

To support current and future rotary wing missions, improved pilot vision is required over a broad set of operational conditions. To meet the needs of future pilotage requirements, multiple sensors are being considered and advanced image processing methods are being developed to enhance image quality and to extend the effective operational envelope. For the current study, the sensor suite comprises Image Intensifier and Thermal Imager devices.

Fundamental to the development of processing for helicopter pilotage are the problems associated with human behaviour and the scope of mission requirements. Addressing these issues has been a cornerstone of the study. Based upon the problem analysis, a number of different image fusion techniques have been investigated and a novel processing architecture identified for optimal adaptive fusion. Of particular interest is the use of scene-based metrics (referred to as Measures of Effectiveness) for maximising image fusion performance under a wide range of operating conditions. The need for adaptive processing is illustrated through the problem of relative fluctuations between sensor outputs on an agile platform. If left uncorrected, this would lead to oscillations in the display and, ultimately, pilot confusion.

Within this paper we report on the approach adopted for identifying an effective solution for aiding helicopter pilotage. Results obtained from initial image fusion algorithms and man-in-the-loop (MIL) assessment are presented. Finally, the future plans for the programme are outlined.

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Authors:

M. I. Smith, Waterfall Solutions, UK;
G. Rood, QinetiQ, UK.

Conferences:

Night Vision Conference, Washington DC, 1999

and

Optical Science and Technology 2000, San Diego CA, 30 July - 4 August
Conference 4126 : Integrated Command Environments