Deriving classification uncertainty map in evidential reasoning classifier

V. K. Sajith; M. K. Arora

doi:10.1117/12.693796

22 December 2006 Deriving classification uncertainty map in evidential reasoning classifier

V. K. Sajith, M. K. Arora

Proceedings Volume 6405, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications; 64052I (2006) https://doi.org/10.1117/12.693796
Event: SPIE Asia-Pacific Remote Sensing, 2006, Goa, India

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).

Citation Download Citation

V. K. Sajith and M. K. Arora "Deriving classification uncertainty map in evidential reasoning classifier", Proc. SPIE 6405, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications, 64052I (22 December 2006); https://doi.org/10.1117/12.693796

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