A framework for the geometric accuracy assessment of classified objects
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Date
2013
Journal Title
Journal ISSN
Volume Title
Publisher
International Journal of Remote Sensing,
Abstract
European initiatives for data harmonization and the establishment of remote-sensingbased
services aim at the production of up-to-date land-cover information according to
generally valid standards for the accurate qualification of thematic classification results.
This is particularly true since new satellite systems provide data of high temporal and
geometric resolution. While methods for point-related thematic accuracy assessment
have already been established for years, there is a need for a commonly accepted framework
for the geometric quality of tematic maps. In this study, an open and extendable
framework for the geometric accuracy assessment is presented. The workflow begins
with the definition of basic geometric accuracy metrics, which are based on differences
in area and position between samples of classified and reference objects. The combination
of user-defined metrics enables both a geometric assessment of single objects as
well as the total data set. In an example of thematically classified agricultural fields in a
German test site, we finally show how object relations between classified and reference
objects can be identified and how they affect the global accuracy assessment of the total
data set.
Description
Keywords
Framework, Geometric accuracy, Assessment, Classified objects
Citation
Markus Möller, Jens Birger, Anthony Gidudu & Cornelia Gläßer (2013) A framework for the geometric accuracy assessment of classified objects, International Journal of Remote Sensing, 34:24, 8685-8698, DOI: 10.1080/01431161.2013.845319