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Proceedings Paper

Deriving classification uncertainty map in evidential reasoning classifier
Author(s): V. K. Sajith; M. K. Arora
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Paper Abstract

In this study, a mechanism for quantifying the uncertainty associated with image classification is suggested. In image classification process, an uncertainty measure can be obtained for each pixel thereby indicating that spatial distribution of quality can also be modelled using uncertainty measures. It thus provides an extended information about the quality of spatial data unlike various accuracy measures which indicate quality on map basis or individual class basis (Steele et al., 1998).

Paper Details

Date Published: 22 December 2006
PDF: 10 pages
Proc. SPIE 6405, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications, 64052I (22 December 2006); doi: 10.1117/12.693796
Show Author Affiliations
V. K. Sajith, Indian Institute of Technology, Roorkee (India)
M. K. Arora, Indian Institute of Technology, Roorkee (India)


Published in SPIE Proceedings Vol. 6405:
Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications
William L. Smith Sr.; Allen M. Larar; Tadao Aoki; Ram Rattan, Editor(s)

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