Results and implications of a study of fifteen years of satellite image classification experiments

Wilkinson, Graeme G (2005) Results and implications of a study of fifteen years of satellite image classification experiments.

View this record at


A study has been carried out of 15 years of published peer-reviewed experiments on satellite image classification. The aim of the study was to assess the degree of progress being made in thematic mapping through developments in classification algorithms and also in systems approaches such as postclassification analysis, multiclassifier integration, and data fusion. The results of over 500 reported classification experiments were quantitatively analyzed. This involved examination of relationships between classification accuracy and date of publication, as well as between accuracy and various experimental parameters such as number of classes, size of feature vector, resolution of satellite data, and test area. Comparisons were also made between different types of methodology such as neural network and nonneural approaches. Overall, the results show that there has been no demonstrable improvement in classification performance over the 15-year period. The mean value of the Kappa coefficient across all experiments was found to be 0.6557 with a standard deviation of 0.1980. Expected relationships between classification accuracy and resolution and between accuracy and number of classes were also not observed in the data. Some of the implications of these findings for the future research agenda are considered.

Item Type: Article
Additional Information: ©2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.Metadata only available from this repository. The definitive version is available at article was originally published in the IEEE Transactions on Geoscience and Remote Sensing in 2005
Keywords: satellite image classification, thematic mapping, classification algorithms, post-classification analysis, multi-classifier integration, data fusion
Members: Glyndŵr University
Depositing User: ULCC Admin
Date Deposited: 05 Oct 2011 09:14
Last Modified: 20 Mar 2016 21:19

Actions (login required)

Edit Item Edit Item