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

Autor: Gizem Senel, Manuel A. Aguilar, Fernando J. Aguilar, Abderrahim Nemmaoui, Cigdem Goksel

Publikováno v: Remote Sensing, Vol 15, Iss 2, p 494 (2023)

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

Externí odkaz: https://doaj.org/article/7bb4841f9da74740a4440e39ac718d9a

Semi-Automated Delineation of Stands in an Even-Age Dominated Forest: A LiDAR-GEOBIA Two-Stage Evaluation Strategy

Autor: Nuria Sanchez-Lopez, Luigi Boschetti, Andrew T. Hudak

Publikováno v: Remote Sensing, Vol 10, Iss 10, p 1622 (2018)

Regional scale maps of homogeneous forest stands are valued by forest managers and are of interest for landscape and ecological modelling. Research focused on stand delineation has substantially increased in the last decade thanks to the development

Externí odkaz: https://doaj.org/article/6a05aa3d9b2c4b90b2939c4db17ab89c

Binary Partition Tree construction from multiple features for image segmentation

Autor: Nicolas Passat, Eric Desjardin, Camille Kurtz, Jimmy Francky Randrianasoa

Publikováno v: Pattern Recognition
Pattern Recognition, Elsevier, 2018, 84, pp.237-250. ⟨10.1016/j.patcog.2018.07.003⟩
Pattern Recognition, 2018, 84, pp.237-250. ⟨10.1016/j.patcog.2018.07.003⟩

In the context of digital image processing and analysis, the Binary Partition Tree (BPT) is a classical data-structure for the hierarchical modelling of images at different scales. BPTs belong both to the families of graph-based models and morphologi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ba5cda0e9cb2679371d353cde19a7c8
https://doi.org/10.1016/j.patcog.2018.07.003

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