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A feature extraction software tool for agricultural object-based image analysis

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A feature extraction software tool for agricultural object-based image analysis

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dc.contributor.author Ruiz Fernández, Luis Ángel es_ES
dc.contributor.author Recio Recio, Jorge Abel es_ES
dc.contributor.author Fernández-Sarría, Alfonso es_ES
dc.contributor.author Hermosilla, T. es_ES
dc.date.accessioned 2015-11-05T14:20:36Z
dc.date.available 2015-11-05T14:20:36Z
dc.date.issued 2011-05-01
dc.identifier.issn 0168-1699
dc.identifier.uri http://hdl.handle.net/10251/57093
dc.description.abstract A software application for automatic descriptive feature extraction from image-objects, FETEX 2.0, is presented and described in this paper. The input data include a multispectral high resolution digital image and a vector file in shapefile format containing the polygons or objects, usually extracted from a geospatial database. The design of the available descriptive features or attributes has been mainly focused on the description of agricultural parcels, providing a variety of information: spectral information from the different image bands; textural descriptors of the distribution of the intensity values based on the grey level co-occurrence matrix, the wavelet transform and a factor of edgeness; structural features describing the spatial arrangement of the elements inside the objects, based on the semivariogram curve and the Hough transform; and several descriptors of the object shape. The output file is a table that can be produced in four alternative formats, containing a vector of features for every object processed. This table of numeric values describing the objects from different points of view can be externally used as input data for any classification software. Additionally, several types of graphs and images describing the feature extraction procedure are produced, useful for interpretation and understanding the process. A test of the processing times is included, as well as an application of the program in a real parcel-based classification problem, providing some results and analyzing the applicability, the future improvement of the methodologies, and the use of additional types of data sets. This software is intended to be a dynamic tool, integrating further data and feature extraction algorithms for the progressive improvement of land use/land cover database classification and agricultural database updating processes. © 2011 Elsevier B.V. es_ES
dc.description.sponsorship The authors appreciate the financial support provided by the Spanish Ministerio de Ciencia e Innovacion and the FEDER in the framework of the Project CGL2009-14220 and CGL2010-19591/BTE, the Spanish Institut Geografico Nacional (IGN), Institut Cartografico Valenciano (ICV), Institut Murciano de Investigacion y Desarrollo Agrario y Alimentario (IMIDA) and Banco de Terras de Galicia (Bantegal). en_EN
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation Spanish Ministerio de Ciencia e Innovacion and FEDER CGL2009-14220 and CGL2010- 19591/BTE es_ES
dc.relation Spanish Institut Geografico Nacional (IGN) es_ES
dc.relation Instituto Cartográfico Valenciano (ICV) es_ES
dc.relation Instituto Murciano de Investigación y Desarrollo Agrario y Alimentario (IMIDA) es_ES
dc.relation Banco de Terras de Galicia (Bantegal) es_ES
dc.relation.ispartof Computers and Electronics in Agriculture es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Agricultural database updating es_ES
dc.subject Feature extraction es_ES
dc.subject Hough transform es_ES
dc.subject Image analysis es_ES
dc.subject Parcel-based es_ES
dc.subject Remote sensing es_ES
dc.subject Semivariogram es_ES
dc.subject Texture es_ES
dc.subject Co-occurrence-matrix es_ES
dc.subject Data sets es_ES
dc.subject Descriptors es_ES
dc.subject Dynamic tools es_ES
dc.subject Extraction procedure es_ES
dc.subject Feature extraction algorithms es_ES
dc.subject Geo-spatial database es_ES
dc.subject Grey levels es_ES
dc.subject High resolution digital images es_ES
dc.subject Image band es_ES
dc.subject Input datas es_ES
dc.subject Intensity values es_ES
dc.subject Land use/land cover es_ES
dc.subject Multi-spectral es_ES
dc.subject Numeric values es_ES
dc.subject Object based image analysis es_ES
dc.subject Object shape es_ES
dc.subject Processing time es_ES
dc.subject Semivariograms es_ES
dc.subject Software applications es_ES
dc.subject Software tool es_ES
dc.subject Spatial arrangements es_ES
dc.subject Spectral information es_ES
dc.subject Structural feature es_ES
dc.subject Classification (of information) es_ES
dc.subject Data processing es_ES
dc.subject Database systems es_ES
dc.subject Hough transforms es_ES
dc.subject Input output programs es_ES
dc.subject Wavelet transforms es_ES
dc.subject Software testing es_ES
dc.subject Agricultural land es_ES
dc.subject Algorithm es_ES
dc.subject Database es_ES
dc.subject Digital image es_ES
dc.subject Image classification es_ES
dc.subject Land cover es_ES
dc.subject Land use es_ES
dc.subject Numerical method es_ES
dc.subject Software es_ES
dc.subject Spectral resolution es_ES
dc.subject Transform es_ES
dc.subject.classification INGENIERIA CARTOGRAFICA, GEODESIA Y FOTOGRAMETRIA es_ES
dc.title A feature extraction software tool for agricultural object-based image analysis es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.compag.2011.02.007
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Cartográfica Geodesia y Fotogrametría - Departament d'Enginyeria Cartogràfica, Geodèsia i Fotogrametria es_ES
dc.description.bibliographicCitation Ruiz Fernández, LÁ.; Recio Recio, JA.; Fernández-Sarría, A.; Hermosilla, T. (2011). A feature extraction software tool for agricultural object-based image analysis. Computers and Electronics in Agriculture. 76(2):284-296. doi:10.1016/j.compag.2011.02.007 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1016/j.compag.2011.02.007 es_ES
dc.description.upvformatpinicio 284 es_ES
dc.description.upvformatpfin 296 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 76 es_ES
dc.description.issue 2 es_ES
dc.relation.senia 193522 es_ES


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