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Mogens Humlekrog Greve

Accuracy Assessment Measures for Image Segmentation Goodness of the Land Parcel Identification System

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This letter evaluates the performance of eCognition’s multi-resolution segmentation algorithm on the task of delimiting agricultural parcels in Denmark using very high spatial resolution 8-band WorldView-2 (WV2) imagery. Fifty-seven different scale parameters setting, ranging from 100 to 1500, was employed in order to assess the quality of segmentation. An accuracy assessment was performed using seven metrics based on the topological or geometric similarity between segmented polygons and reference polygons, which were derived through manual delineation.

The results indicate that (1) segmentation accuracy is influenced by the size of the reference polygons and (2) the presence of clear boundaries (e.g. hedgerow, ponds, ditches and road) drives the segmentation algorithm when the scale parameter exceeds a certain value.
OriginalsprogEngelsk
TidsskriftRemote Sensing Letters
Vol/bind4
Nummer10
Sider (fra-til)945-955
Antal sider11
ISSN2150-704X
DOI
StatusUdgivet - 2013

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