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

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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Bibliografiske detaljer
Main Authors: Gizem Senel, Manuel A. Aguilar, Fernando J. Aguilar, Abderrahim Nemmaoui, Cigdem Goksel
Format: Article
Sprog:English
Udgivet: MDPI AG 2023-01-01
Serier:Remote Sensing
Fag:
greenhouse segmentation
multiresolution segmentation (MRS)
object-based image analysis (OBIA)
segmentation quality
supervised evaluation
Online adgang:https://www.mdpi.com/2072-4292/15/2/494

Internet

https://www.mdpi.com/2072-4292/15/2/494

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