A Metric for Evaluating the Geometric Quality of Land Cover Maps Generated with Contextual Features from High-Dimensional Satellite Image Time Series without Dense Reference Data

A Metric for Evaluating the Geometric Quality of Land Cover Maps Generated with Contextual Features from High-Dimensional Satellite Image Time Series without Dense Reference Data

Land cover maps are a key resource for many studies in Earth Observation, and thanks to the high temporal, spatial, and spectral resolutions of systems like Sentinel-2, maps with a wide variety of land cover classes can now be automatically produced over vast areas. However, certain context-dependen...

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Bibliographic Details
Main Authors: Dawa Derksen, Jordi Inglada, Julien Michel
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Remote Sensing
Subjects:
image processing
image segmentation
superpixel segmentation
contextual features
land cover mapping
satellite image time series
Online Access:https://www.mdpi.com/2072-4292/11/16/1929

Internet

https://www.mdpi.com/2072-4292/11/16/1929

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