Unraveling Segmentation Quality of Remotely Sensed Images on Plastic-Covered Greenhouses: A Rigorous Experimental Analysis from Supervised Evaluation Metrics

Plastic-covered greenhouse (PCG) segmentation represents a significant challenge for object-based PCG mapping studies due to the spectral characteristics of these singular structures. Therefore, the assessment of PCG segmentation quality by employing a multiresolution segmentation algorithm (MRS) wa...

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Autori principali:	Gizem Senel, Manuel A. Aguilar, Fernando J. Aguilar, Abderrahim Nemmaoui, Cigdem Goksel
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2023-01-01
Serie:	Remote Sensing
Soggetti:	greenhouse segmentation multiresolution segmentation (MRS) object-based image analysis (OBIA) segmentation quality supervised evaluation
Accesso online:	https://www.mdpi.com/2072-4292/15/2/494
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