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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Stefanou, M.S. Kerekes, J.P. |
| Copyright Year | 2008 |
| Description | Author affiliation: Chester F. Carlson Center for Imaging Sci., Rochester Inst. of Technol., Rochester, NY (Kerekes, J.P.) || Rochester Inst. of Technol., United States Air Force, Rochester, NY (Stefanou, M.S.) |
| Abstract | For a wide range of application areas, quantifying the ability of a spectral image to satisfy the informational requirements of an application task would be desirable. We propose that this metric may be termed the "image utility" and present a method for assessing the utility of spectral images for the subpixel target detection task. In this paper, we investigate the sensitivity of this utility metric to various image chain parameters. In particular, we examine the effect of small variations of preprocessing and target detection scenario parameters on the assessed utility of a spectral image. We offer a method of quantifying the sensitivity to facilitate a rank ordering of parameter sensitivities. This exploration constitutes an initial step towards gaining a fuller understanding of the key parameters that drive spectral image utility. |
| File Size | 1156522 |
| File Format | |
| ISBN | 9781424428076 |
| DOI | 10.1109/IGARSS.2008.4779068 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-07-07 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Object detection Probability Image sensors Sensitivity Layout Sensor phenomena and characterization Robustness Image analysis Testing Statistical analysis sensitivity analysis spectral image utility subpixel target detection |
| Content Type | Text |
| Resource Type | Article |
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