All Outputs (3)

Harshness in image classification accuracy assessment (2008)
Journal Article
Foody, G. M. (2008). Harshness in image classification accuracy assessment. International Journal of Remote Sensing, 29(11), https://doi.org/10.1080/01431160701442120

Thematic mapping via a classification analysis is one of the most common applications of remote sensing. The accuracy of image classifications is, however, often viewed negatively. Here, it is suggested that the approach to the evaluation of image cl... Read More about Harshness in image classification accuracy assessment.

RVM-based multi-class classification of remotely sensed data (2008)
Journal Article
Foody, G. M. (2008). RVM-based multi-class classification of remotely sensed data. International Journal of Remote Sensing, 29(6), https://doi.org/10.1080/01431160701822115

The relevance vector machine (RVM), a Bayesian extension of the support vector machine (SVM), has considerable potential for the analysis of remotely sensed data. Here, the RVM is introduced and used to derive a multi-class classification of land cov... Read More about RVM-based multi-class classification of remotely sensed data.

Crop classification by a support vector machine with intelligently selected training data for an operational application (2008)
Journal Article
Mathur, A., & Foody, G. M. (2008). Crop classification by a support vector machine with intelligently selected training data for an operational application. International Journal of Remote Sensing, 29(8), https://doi.org/10.1080/01431160701395203

The accuracy of supervised classification is dependent to a large extent on the training data used. The aim is often to capture a large training set to fully describe the classes spectrally, commonly with the requirements of a conventional statistica... Read More about Crop classification by a support vector machine with intelligently selected training data for an operational application.