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...

書誌詳細
主要な著者:	Senel, Gizem, Aguilar Torres, Manuel Ángel, Aguilar Torres, Fernando José, Nemmaoui, Abderrahim, Goksel, Cigdem
フォーマット:	info:eu-repo/semantics/article
言語:	English
出版事項:	MDPI 2023
主題:	greenhouse segmentation multiresolution segmentation (MRS) object-based image analysis (OBIA) segmentation quality supervised evaluation
オンライン･アクセス:	http://hdl.handle.net/10835/14173

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