Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/70582
Title: A superpixel-based approach based on consensus for delineating agricultural plots
Authors: Garcia-Pedrero, Angel
Gonzalo Martin,Consuelo 
Lillo-Saavedra, Mario
Rodriguez-Esparragon, Dionisio 
UNESCO Clasification: 220990 Tratamiento digital. Imágenes
31 Ciencias agrarias
Keywords: Image segmentation
Image edge detection
Image color analysis
Agriculture
Remote sensing, et al
Issue Date: 2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Conference: 5th IEEE International Work Conference on Bio-Inspired Intelligence, IWOBI 2017 
Abstract: The delineation of agricultural lands is an important task for obtaining primary information in order to establish agricultural policies. Most of the automatic and semiautomatic methods for delineating agricultural plots in remote sensing area are based on image segmentation. However, they usually are sensitive to intra-plot variability and depend on a correct parameter selection, resulting in a bad performance due to the variability of the agricultural landscapes. In this paper, a novel methodology for delineating agricultural plots is proposed. The methodology is based on the consensus of diverse superpixel segmentations at different scales. The join of different segmentations is intended to reduce the aforementioned problems. Proposed methodology has been applied to two regions of a Worldview-2 image of a fragmented agricultural landscape. A visual and numerical evaluation of the results indicates that the use of the consensus of segmentations is promising for delineating agricultural plots.
URI: http://hdl.handle.net/10553/70582
ISBN: 9781538608500
DOI: 10.1109/IWOBI.2017.7985537
Source: 2017 International Work Conference on Bio-Inspired Intelligence: Intelligent Systems for Biodiversity Conservation, IWOBI 2017 - Proceedings, v. 2017-January
Appears in Collections:Actas de congresos
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