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Proceedings Paper

An investigation of image compression on NIIRS rating degradation through automated image analysis
Author(s): Hua-Mei Chen; Erik Blasch; Khanh Pham; Zhonghai Wang; Genshe Chen
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Paper Abstract

The National Imagery Interpretability Rating Scale (NIIRS) is a subjective quantification of static image widely adopted by the Geographic Information System (GIS) community. Efforts have been made to relate NIIRS image quality to sensor parameters using the general image quality equations (GIQE), which make it possible to automatically predict the NIIRS rating of an image through automated image analysis. In this paper, we present an automated procedure to extract line edge profile based on which the NIIRS rating of a given image can be estimated through the GIQEs if the ground sampling distance (GSD) is known. Steps involved include straight edge detection, edge stripes determination, and edge intensity determination, among others. Next, we show how to employ GIQEs to estimate NIIRS degradation without knowing the ground truth GSD and investigate the effects of image compression on the degradation of an image’s NIIRS rating. Specifically, we consider JPEG and JPEG2000 image compression standards. The extensive experimental results demonstrate the effect of image compression on the ground sampling distance and relative edge response, which are the major factors effecting NIIRS rating.

Paper Details

Date Published: 13 May 2016
PDF: 10 pages
Proc. SPIE 9838, Sensors and Systems for Space Applications IX, 983811 (13 May 2016); doi: 10.1117/12.2224631
Show Author Affiliations
Hua-Mei Chen, Intelligent Fusion Technology, Inc. (United States)
Erik Blasch, Air Force Research Lab. (United States)
Khanh Pham, Air Force Research Lab. (United States)
Zhonghai Wang, Intelligent Fusion Technology, Inc. (United States)
Genshe Chen, Intelligent Fusion Technology, Inc. (United States)


Published in SPIE Proceedings Vol. 9838:
Sensors and Systems for Space Applications IX
Khanh D. Pham; Genshe Chen, Editor(s)

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