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An information meas...
An information measure of sensor performance and its relation to the ROC curve
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- Ahlberg, Jörgen, 1971- (författare)
- Swedish Defence Research Agency (FOI), Linköping, Sweden
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- Renhorn, Ingmar G. (författare)
- Swedish Defence Research Agency (FOI), Linköping, Sweden
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- Wadströmer, Niclas (författare)
- Swedish Defence Research Agency (FOI), Linköping, Sweden
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(creator_code:org_t)
- SPIE - International Society for Optical Engineering, 2010
- 2010
- Engelska.
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Ingår i: Proc. SPIE 7695, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI. - : SPIE - International Society for Optical Engineering. ; , s. Art.nr. 7695-72-
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- The ROC curve is the most frequently used performance measure for detection methods and the underlying sensor configuration. Common problems are that the ROC curve does not present a single number that can be compared to other systems and that no discrimination between sensor performance and algorithm performance is done. To address the first problem, a number of measures are used in practice, like detection rate at a specific false alarm rate, or area-under-curve. For the second problem, we proposed in a previous paper1 an information theoretic method for measuring sensor performance. We now relate the method to the ROC curve, show that it is equivalent to selecting a certain point on the ROC curve, and that this point is easily determined. Our scope is hyperspectral data, studying discrimination between single pixels.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)
Nyckelord
- ROC
- information theory
- target detection
- hyperspectral
- sensor performance
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)