liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
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 (English)In: 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, Art.nr. 7695-72- p.Conference paper (Refereed)
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.

Place, publisher, year, edition, pages
SPIE - International Society for Optical Engineering, 2010. Art.nr. 7695-72- p.
Series
, Proceedings of SPIE, 7695
Keyword [en]
ROC, information theory, target detection, hyperspectral, sensor performance
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:liu:diva-120554DOI: 10.1117/12.851322OAI: oai:DiVA.org:liu-120554DiVA: diva2:846258
Conference
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI, Orlando, Florida, USA, 5–8 April 2010
Available from: 2015-08-14 Created: 2015-08-14 Last updated: 2015-09-21Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Ahlberg, JörgenWadströmer, Niclas
Computer Vision and Robotics (Autonomous Systems)

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 83 hits
ReferencesLink to record
Permanent link

Direct link