2026-04-27T22:07:12Zhttps://uvadoc.uva.es/oai/request
oai:uvadoc.uva.es:10324/524692022-07-18T09:33:07Zcom_10324_7492com_10324_952com_10324_894col_10324_7493
UVaDOC author García Pedrero, Ángel Mario author Gonzalo Martín, Consuelo author Lillo Saavedra, Mario author Rodríguez Esparragón, Dionisio 2022-03-15T12:45:06Z 2022-03-15T12:45:06Z 2018 Remote Sensing, 2018, vol. 10, n. 12, p. 1991 2072-4292 https://uvadoc.uva.es/handle/10324/52469 10.3390/rs10121991 1991 12 Remote Sensing 10 2072-4292 The outlining of agricultural land is an important task for obtaining primary information used to create agricultural policies, estimate subsidies and agricultural insurance, and update agricultural geographical databases, among others. Most of the automatic and semi-automatic methods used for outlining agricultural plots using remotely sensed imagery are based on image segmentation. However, these approaches are usually sensitive to intra-plot variability and depend on the selection of the correct parameters, resulting in a poor performance due to the variability in the shape, size, and texture of the agricultural landscapes. In this work, a new methodology based on consensus image segmentation for outlining agricultural plots is presented. The proposed methodology combines segmentation at different scales—carried out using a superpixel (SP) method—and different dates from the same growing season to obtain a single segmentation of the agricultural plots. A visual and numerical comparison of the results provided by the proposed methodology with field-based data (ground truth) shows that the use of segmentation consensus is promising for outlining agricultural plots in a semi-supervised manner. eng Atribución 4.0 Internacional The outlining of agricultural plots based on spatiotemporal consensus segmentation info:eu-repo/semantics/article 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URL https://uvadoc.uva.es/bitstream/10324/52469/1/The-outlining-agricultural-plots.pdf File MD5 a953cf46c771a9f3fc005490f124c016 14719893 application/pdf The-outlining-agricultural-plots.pdf