A framework for the geometric accuracy assessment of classified objects

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dc.contributor.authorMöller, Markus
dc.contributor.authorBirger, Jens
dc.contributor.authorGidudu, Anthony
dc.contributor.authorGläßer, Cornelia
dc.date.accessioned2023-01-31T16:12:10Z
dc.date.available2023-01-31T16:12:10Z
dc.date.issued2013
dc.description.abstractEuropean 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.en_US
dc.identifier.citationMarkus 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: 10.1080/01431161.2013.845319en_US
dc.identifier.urihttp://dx.doi.org/10.1080/01431161.2013.845319
dc.identifier.urihttps://nru.uncst.go.ug/handle/123456789/7429
dc.language.isoenen_US
dc.publisherInternational Journal of Remote Sensing,en_US
dc.subjectFrameworken_US
dc.subjectGeometric accuracyen_US
dc.subjectAssessmenten_US
dc.subjectClassified objectsen_US
dc.titleA framework for the geometric accuracy assessment of classified objectsen_US
dc.typeArticleen_US
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