University of Tasmania
Browse

File(s) under permanent embargo

Use of the Bradley–Terry Model to Quantify Association in Remotely Sensed Images

journal contribution
posted on 2023-05-17, 13:59 authored by Stein, A, Jagannath Aryal, Gort, G
Thematic maps prepared from remotely sensed images require a statistical accuracy assessment. For this purpose, the -statistic is often used. This statistic does not distinguish between whether one unit is classified as another, or vice versa. In this paper, the Bradley–Terry (BT) model is applied for accuracy assessment. This model compares categories pairwise. The probability of one class over another class is estimated as well as the expected values of class pixels. The study is illustrated with an Advanced Spaceborne Thermal Emission and Reflection Radiometer image from the Netherlands, to which a maximum-likelihood classification with the Euclidean distance is applied. An error matrix is generated using an IKONOS image from the same area as ground truth. It is shown to which degree the BT model extends the -statistic. A comparison with the Mahalanobis distance is made. Standardization is carried out to overcome problems emerging from the fact that a common BT model does not include the number of correctly classified pixels. The study shows how the BT model serves as an alternative to the usual -statistic.

History

Publication title

I E E E Transactions on Geoscience and Remote Sensing

Volume

43

Issue

4

Pagination

852-856

ISSN

0196-2892

Department/School

School of Geography, Planning and Spatial Sciences

Publisher

Ieee-Inst Electrical Electronics Engineers Inc

Place of publication

445 Hoes Lane, Piscataway, USA, Nj, 08855

Rights statement

Copyright 2005 IEEE

Repository Status

  • Restricted

Socio-economic Objectives

Expanding knowledge in the earth sciences

Usage metrics

    University Of Tasmania

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC