Developing an interpretability scale for motion imagery

Author:

Irvine John M.

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Engineering,Atomic and Molecular Physics, and Optics

Reference13 articles.

1. National imagery interpretability rating scales (NIIRS): overview and methodology

2. J. M. Irvine , National imagery intelligence rating scale (NIIRS) inThe Encyclopedia of Optical Engineering, R. G. Driggers , Ed., Dekker, New York (2003).

3. J. C. Leachtenauer , “National imagery interpretability rating scales: overview and product description,”Proceedings of the American Society of Photogrammetry and Remote Sensing Annual Meetings, Baltimore, MD (April 1996).

4. L. A. Maver, C. D. Erdman, and K. Riehl , “Imagery interpretability rating scales,”Digest of Technical Papers, International Symposium Society for Information Display, Santa Ana, CA, Vol. XXVI, pp. 117–120, (May 1995).

5. J. C. Leachtenauer and R. G. Driggers ,Surveillance and Reconnaissance Systems: Modeling and Performance Prediction, Artech House, Norwood, MA (2001).

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1. Machine Learning, Compression, and Image Quality;2020 IEEE Applied Imagery Pattern Recognition Workshop (AIPR);2020-10-13

2. An exploration of NIIRS, image quality, and machine learning;Geospatial Informatics X;2020-04-21

3. Modeling and assessing VNIIRS using in-scene metrics;Geospatial Informatics IX;2019-05-13

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