Scale Matters: Spatially Partitioned Unsupervised Segmentation Parameter Optimization for Large and Heterogeneous Satellite Images

To classify Very-High-Resolution (VHR) imagery, Geographic Object Based Image Analysis (GEOBIA) is the most popular method used to produce high quality Land-Use/Land-Cover maps. A crucial step in GEOBIA is the appropriate parametrization of the segmentation algorithm prior to the classification. How...

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Principais autores:	Stefanos Georganos, Tais Grippa, Moritz Lennert, Sabine Vanhuysse, Brian Alan Johnson, Eléonore Wolff
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2018-09-01
coleção:	Remote Sensing
Assuntos:	unsupervised segmentation parameter optimization GRASS GIS image classification land cover urban areas big data
Acesso em linha:	http://www.mdpi.com/2072-4292/10/9/1440
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