The Texture Feature Extraction of Mardin Agricultural Field Images by HOG Algorithms and Soil Moisture Estimation based on the Image Textures

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dc.contributor.authorAcar, Emrullah
dc.contributor.authorOzerdem, Mehmet Sirac
dc.date.accessioned2024-04-24T17:45:01Z
dc.date.available2024-04-24T17:45:01Z
dc.date.issued2015
dc.departmentDicle Üniversitesien_US
dc.description23nd Signal Processing and Communications Applications Conference (SIU) -- MAY 16-19, 2015 -- Inonu Univ, Malatya, TURKEYen_US
dc.description.abstractKnowing the soil surface moisture values of agricultural land will allow to determine disease risks in the soils and wet and dry farming. The main purpose of this study is that determining a relationship between measurements of local soil moisture and images in agricultural Mardin region and prediction of soil moisture with the determined relationship. The images are derived from TARBIL (http://www.tarbil.org) database. The texture feature vectors are extracted from the images by using Histogram of Oriented Gradients (HOG) algorithm. The obtained feature vectors are then classified into three (much, middle and little) groups by using k-Nearest Neighbor (k-NN) and Multilayer Perceptron (MLP) classifiers. Finally, the best average performance is observed as 92.73 %.en_US
dc.description.sponsorshipDept Comp Engn & Elect & Elect Engn,Elect & Elect Engn,Bilkent Univen_US
dc.identifier.endpage665en_US
dc.identifier.isbn978-1-4673-7386-9
dc.identifier.issn2165-0608
dc.identifier.startpage665en_US
dc.identifier.urihttps://hdl.handle.net/11468/22388
dc.identifier.wosWOS:000380500900145
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2015 23rd Signal Processing and Communications Applications Conference (Siu)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subject[No Keyword]en_US
dc.titleThe Texture Feature Extraction of Mardin Agricultural Field Images by HOG Algorithms and Soil Moisture Estimation based on the Image Texturesen_US
dc.titleThe Texture Feature Extraction of Mardin Agricultural Field Images by HOG Algorithms and Soil Moisture Estimation based on the Image Textures
dc.typeConference Objecten_US

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