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Proceedings Paper

Tailoring image compression to mission needs: Predicting NIIRS loss due to image compression
Author(s): Hua-mei Chen; Zhonghai Wang; Genshe Chen; John M. Irvine; Erik Blasch; James Nagy
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Paper Abstract

Transmission and analysis of imagery for law enforcement and military missions is often constrained by the capacity of available communications channels. Nevertheless, achieving success in operational missions requires acquisition and analysis of imagery that satisfies specific interpretability requirements. By expressing these requirements in terms of the National Imagery Interpretability Ratings Scale (NIIRS), we have developed a method for predicting the NIIRS loss associated with various methods and levels of imagery compression. Our method, known as the Compression Degradation Image Function Index (CoDIFI) framework automatically predicts the NIIRS degradation associated with the specific image compression method and level of compression. In this paper, we first review NIIRS and methods for predicting it followed by the presentation of the CoDIFI framework and we put our emphasis on the results of the empirical validation experiments. By leveraging CoDIFI in operational settings, our goal is to ensure mission success in terms of the NIIRS level of imagery data delivered to users, while optimizing the use of scarce data transmission capacity.

Paper Details

Date Published: 21 May 2018
PDF: 12 pages
Proc. SPIE 10645, Geospatial Informatics, Motion Imagery, and Network Analytics VIII, 1064505 (21 May 2018); doi: 10.1117/12.2305950
Show Author Affiliations
Hua-mei Chen, Intelligent Fusion Technology, Inc. (United States)
Zhonghai Wang, Intelligent Fusion Technology, Inc. (United States)
Genshe Chen, Intelligent Fusion Technology, Inc. (United States)
John M. Irvine, Draper Lab. (United States)
Erik Blasch, Air Force Research Lab. (United States)
James Nagy, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 10645:
Geospatial Informatics, Motion Imagery, and Network Analytics VIII
Kannappan Palaniappan; Peter J. Doucette; Gunasekaran Seetharaman, Editor(s)

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