What is the difference between two maps? A remote senser's view
What is the difference between two maps? A remote senser's view
In remote sensing, thematic map comparison is often undertaken on a per-pixel basis and based upon measures of classification agreement. Here, the degree of agreement between two thematic maps, and so the difference between the pair, was evaluated through visual and quantitative analyses for two scenarios. Quantitative assessments were based on basic site-specific measures of agreement that are used widely in accuracy assessment (e.g. the overall percentage of pixels with the same class label in each of the two maps and the kappa coefficient of agreement) as well as an information theory based approach that allows the degree of mutual or shared information to be assessed even if different classification schemes have been used to produce the maps. The results indicated that in the first map comparison scenario, focused on labelling, there was a fair degree of correspondence between the maps but with an overall difference in information content of ~42%. In the second comparison scenario, focused on change in time, considerable change had occurred with a change in class label for ~42% of the pixels. It was also apparent that global assessments masked local scale changes.
accuracy, agreement, mutual information, classification, Kappa coefficient, confusion matrix
119-130
Foody, G.M.
06e50027-603d-4a5b-88f5-af2bb6235a37
2006
Foody, G.M.
06e50027-603d-4a5b-88f5-af2bb6235a37
Foody, G.M.
(2006)
What is the difference between two maps? A remote senser's view.
Journal of Geographical Systems, 8 (2), .
(doi:10.1007/s10109-006-0023-z).
Abstract
In remote sensing, thematic map comparison is often undertaken on a per-pixel basis and based upon measures of classification agreement. Here, the degree of agreement between two thematic maps, and so the difference between the pair, was evaluated through visual and quantitative analyses for two scenarios. Quantitative assessments were based on basic site-specific measures of agreement that are used widely in accuracy assessment (e.g. the overall percentage of pixels with the same class label in each of the two maps and the kappa coefficient of agreement) as well as an information theory based approach that allows the degree of mutual or shared information to be assessed even if different classification schemes have been used to produce the maps. The results indicated that in the first map comparison scenario, focused on labelling, there was a fair degree of correspondence between the maps but with an overall difference in information content of ~42%. In the second comparison scenario, focused on change in time, considerable change had occurred with a change in class label for ~42% of the pixels. It was also apparent that global assessments masked local scale changes.
This record has no associated files available for download.
More information
Published date: 2006
Keywords:
accuracy, agreement, mutual information, classification, Kappa coefficient, confusion matrix
Identifiers
Local EPrints ID: 57709
URI: http://eprints.soton.ac.uk/id/eprint/57709
ISSN: 1435-5930
PURE UUID: 25a2033b-3dc4-492a-a670-e9385487e339
Catalogue record
Date deposited: 11 Aug 2008
Last modified: 15 Mar 2024 11:08
Export record
Altmetrics
Contributors
Author:
G.M. Foody
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