The University of Southampton
University of Southampton Institutional Repository

A generalized confusion matrix for assessing area estimates from remote sensing imagery

Lewis, H.G. and Brown, M. (2001) A generalized confusion matrix for assessing area estimates from remote sensing imagery International Journal of Remote Sensing, 22, (16), pp. 3223-3235. (doi:10.1080/01431160152558332).

Record type: Article

Abstract

The formulation of a generalized area-based confusion matrix for exploring the accuracy of area estimates is presented. The generalized confusion matrix is appropriate for both traditional classification algorithms and sub-pixel area estimation models. An error matrix, derived from the generalized confusion matrix, allows the accuracy of maps generated using area estimation models to be assessed quantitatively and compared to the accuracies obtained from traditional classification techniques. The application of this approach is demonstrated for an area estimation model applied to Landsat data of an urban area of the United Kingdom.

PDF 21972-01.pdf - Version of Record
Restricted to Repository staff only
Download (393kB)

More information

Published date: 2001

Identifiers

Local EPrints ID: 21972
URI: http://eprints.soton.ac.uk/id/eprint/21972
ISSN: 0143-1161
PURE UUID: 04e13f53-d39f-4440-8e11-f51afee87b38

Catalogue record

Date deposited: 16 Mar 2006
Last modified: 17 Jul 2017 16:24

Export record

Altmetrics

Contributors

Author: H.G. Lewis
Author: M. Brown

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×