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Proceedings Paper

Modeling and assessing VNIIRS using in-scene metrics
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Paper Abstract

The Video National Imagery Interpretability Rating Scale (VNIIRS) is a useful standard for quantifying the interpretability of motion imagery. Automated accurate assessment of VNIIRS would benefit operators by characterizing the potential utility of a video stream. For still, visible-light imagery the general image quality equation (GIQE) provides a standard model to automatically estimate the NIIRS of the image using sensor parameters, namely the ground sample distance (GSD), the relative edge response (RER), and signal-to-noise ratio (SNR). Typically, these parameters are associated with a specific sensor and the metadata correspond to specific image acquisition. For many tactical video sensors however, these sensor metadata are not available and it is necessary to estimate these parameters from information available in the imagery. We present methods for estimating the RER and SNR through analysis of the scene, i.e. the raw pixel data. By estimating the RER and SNR directly from the video data, we can compute accurate VNIIRS estimates for the video. We demonstrate the method on a set of video data.

Paper Details

Date Published: 13 May 2019
PDF: 10 pages
Proc. SPIE 10992, Geospatial Informatics IX, 1099205 (13 May 2019); doi: 10.1117/12.2520090
Show Author Affiliations
John M. Irvine, National Geospatial-Intelligence Agency (United States)
Charles A. McPherson Sr., National Geospatial-Intelligence Agency (United States)
Andrew Kalukin, National Geospatial-Intelligence Agency (United States)
Gary Takis, National Geospatial-Intelligence Agency (United States)
James Miller, National Geospatial-Intelligence Agency (United States)

Published in SPIE Proceedings Vol. 10992:
Geospatial Informatics IX
Kannappan Palaniappan; Peter J. Doucette; Gunasekaran Seetharaman, Editor(s)

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