TY - JOUR
T1 - Spatial distribution of the uncertainty in land cover maps obtained from remote sensing
AU - Xavier, Pons
AU - Sevillano, E.
AU - Moré, G.
AU - Serra, P.
AU - Cornford, D.
AU - Ninyerola, M.
PY - 2014/1/1
Y1 - 2014/1/1
N2 - © 2014 Asociacion Espanola de Teledeteccion. All rights reserved. When combining remote sensing imagery with statistical classifiers to obtain categorical thematic maps it is not usual to provide data about the spatial distribution of the error and uncertainty of the resulting maps. This paper describes, in the context of GeoViQua FP7 project, feasible approaches for methods based on several steps such as hybrid classifiers. Both for “per pixel” and “per polygon” strategies, the proposal is based on the use of the available ground truth, which is used to properly model the spatial distribution of the errors. Results allow mapping the classification success with a very high level of reliability (R2>0,94), providing users a sound knowledge of the accuracy at every area of the map.
AB - © 2014 Asociacion Espanola de Teledeteccion. All rights reserved. When combining remote sensing imagery with statistical classifiers to obtain categorical thematic maps it is not usual to provide data about the spatial distribution of the error and uncertainty of the resulting maps. This paper describes, in the context of GeoViQua FP7 project, feasible approaches for methods based on several steps such as hybrid classifiers. Both for “per pixel” and “per polygon” strategies, the proposal is based on the use of the available ground truth, which is used to properly model the spatial distribution of the errors. Results allow mapping the classification success with a very high level of reliability (R2>0,94), providing users a sound knowledge of the accuracy at every area of the map.
KW - Hybrid classification
KW - Landsat
KW - Multivariate linear regression
KW - Multivariate logistic regression
KW - Spatial distribution of uncertainty and error
UR - https://ddd.uab.cat/record/204606
U2 - https://doi.org/10.4995/raet.2014.3059
DO - https://doi.org/10.4995/raet.2014.3059
M3 - Article
SP - 1
EP - 10
JO - Revista de Teledeteccion
JF - Revista de Teledeteccion
SN - 1133-0953
ER -