Giles Foody
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Cited by
Status of land cover classification accuracy assessment
GM Foody
Remote sensing of environment 80 (1), 185-201, 2002
Good practices for estimating area and assessing accuracy of land change
P Olofsson, GM Foody, M Herold, SV Stehman, CE Woodcock, MA Wulder
Remote sensing of Environment 148, 42-57, 2014
A relative evaluation of multiclass image classification by support vector machines
GM Foody, A Mathur
IEEE Transactions on geoscience and remote sensing 42 (6), 1335-1343, 2004
Thematic map comparison
GM Foody
Photogrammetric Engineering & Remote Sensing 70 (5), 627-633, 2004
Making better use of accuracy data in land change studies: Estimating accuracy and area and quantifying uncertainty using stratified estimation
P Olofsson, GM Foody, SV Stehman, CE Woodcock
Remote sensing of environment 129, 122-131, 2013
Feature selection for classification of hyperspectral data by SVM
M Pal, GM Foody
IEEE Transactions on Geoscience and Remote Sensing 48 (5), 2297-2307, 2010
Predictive relations of tropical forest biomass from Landsat TM data and their transferability between regions
GM Foody, DS Boyd, MEJ Cutler
Remote sensing of environment 85 (4), 463-474, 2003
Toward intelligent training of supervised image classifications: directing training data acquisition for SVM classification
GM Foody, A Mathur
Remote Sensing of Environment 93 (1-2), 107-117, 2004
Approaches for the production and evaluation of fuzzy land cover classifications from remotely-sensed data
GM Foody
International Journal of Remote Sensing 17 (7), 1317-1340, 1996
Derivation and applications of probabilistic measures of class membership from the maximum-likelihood classification
GM Foody, NA Campbell, NM Trodd, TF Wood
Photogrammetric engineering and remote sensing 58 (9), 1335-1341, 1992
The use of small training sets containing mixed pixels for accurate hard image classification: Training on mixed spectral responses for classification by a SVM
GM Foody, A Mathur
Remote sensing of environment 103 (2), 179-189, 2006
Sub-pixel land cover composition estimation using a linear mixture model and fuzzy membership functions
GM Foody, DP Cox
International Journal of Remote Sensing 15 (3), 619-631, 1994
Measuring and modelling biodiversity from space
TW Gillespie, GM Foody, D Rocchini, AP Giorgi, S Saatchi
Progress in physical geography 32 (2), 203-221, 2008
On the compensation for chance agreement in image classification accuracy assessment
GM Foody
Photogrammetric Engineering and Remote Sensing 58, 1459-1460, 1992
Global land cover validation: Recommendations for evaluation and accuracy assessment of global land cover maps
AH Strahler, L Boschetti, GM Foody, MA Friedl, MC Hansen, M Herold, ...
European Communities, Luxembourg 51 (4), 1-60, 2006
Multiclass and binary SVM classification: Implications for training and classification users
A Mathur, GM Foody
IEEE Geoscience and remote sensing letters 5 (2), 241-245, 2008
Harshness in image classification accuracy assessment
GM Foody
International Journal of Remote Sensing 29 (11), 3137-3158, 2008
Mapping the biomass of Bornean tropical rain forest from remotely sensed data
GM Foody, ME Cutler, J McMorrow, D Pelz, H Tangki, DS Boyd, ...
Global Ecology and Biogeography 10 (4), 379-387, 2001
Geographical weighting as a further refinement to regression modelling: An example focused on the NDVI–rainfall relationship
GM Foody
Remote sensing of Environment 88 (3), 283-293, 2003
An evaluation of some factors affecting the accuracy of classification by an artificial neural network
GM Foody, MK Arora
International Journal of Remote Sensing 18 (4), 799-810, 1997
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