Predicting image quality of surveillance sensors


  1. Wong, S.
  2. Jassemi-Zargani, R.
Corporate Authors
Defence Research and Development Canada, Ottawa Research Centre, Ottawa ON (CAN)
Many of the visible and infrared imagery applications such as target acquisition, fire control, target detection, target classification and identification, and Intelligence, Surveillance and Reconnaissance (ISR) taskings require personnel to interpret the imagery information quickly and accurately. The National Imagery Interpretability Rating Scale (NIIRS) was created to provide a user-friendly metric to define the image quality of the acquired images. It is a 10-level scale that helps analysts to assess quantitatively the image quality of images for exploitation. For example, the performance goals for both the Predator and Global Hawk unmanned aerial vehicle (UAV) imaging systems are defined in terms of the NIIRS. “The General Image Quality Equation (GIQE) that was developed by ERIM International, Inc. during the 1980s and was released to the UAV development community is used by imaging system designers and researchers to translate a desired level of NIIRS performance into technical requirements of an imaging system. The GIQE was developed specifically as a tool to predict the NIIRS as a function of imaging system parameters; it enables system designers to optimize sensor performance to meet a required NIIRS level sought.” In this report, the GIQE is assessed by using the NIIRS-rated visible and infrared images collected from the Global Hawk’s sensors. The GIQE was developed and validated for image data acquired from imaging system with a system Q factor of one; the sy

Il y a un résumé en français ici.

image quality;imaging systems;surveillance;visible and infrared imageries
Report Number
DRDC-RDDC-2014-R97 — Scientific Report
Date of publication
01 Oct 2014
Number of Pages
Electronic Document(PDF)

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