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An information measure of sensor performance and its relation to the ROC curve
Swedish Defence Research Agency (FOI), Linköping, Sweden.ORCID-id: 0000-0002-6763-5487
Swedish Defence Research Agency (FOI), Linköping, Sweden.
Swedish Defence Research Agency (FOI), Linköping, Sweden.
2010 (Engelska)Ingår i: Proc. SPIE 7695, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI / [ed] Sylvia S. Shen; Paul E. Lewis, SPIE - International Society for Optical Engineering, 2010, s. Art.nr. 7695-72-Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

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.

Ort, förlag, år, upplaga, sidor
SPIE - International Society for Optical Engineering, 2010. s. Art.nr. 7695-72-
Serie
Proceedings of SPIE ; 7695
Nyckelord [en]
ROC, information theory, target detection, hyperspectral, sensor performance
Nationell ämneskategori
Datorseende och robotik (autonoma system)
Identifikatorer
URN: urn:nbn:se:liu:diva-120554DOI: 10.1117/12.851322OAI: oai:DiVA.org:liu-120554DiVA, id: diva2:846258
Konferens
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI, Orlando, Florida, USA, 5–8 April 2010
Tillgänglig från: 2015-08-14 Skapad: 2015-08-14 Senast uppdaterad: 2018-01-11Bibliografiskt granskad

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Ahlberg, JörgenWadströmer, Niclas
Datorseende och robotik (autonoma system)

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