A novel texture feature based multiple classifier technique for roadside vegetation classification. Issue 12 (15th July 2015)

• Record Type: Journal Article
• Authors: Chowdhury, Sujan; Verma, Brijesh; Stockwell, David
• Is Part Of: Expert systems with applications. Volume 42:Issue 12(2015)
• Page Start: 5047
• Page End: 5055
• Publication Date: 2015-07-15
• Subjects: Expert systems (Computer science) -- Periodicals; Systèmes experts (Informatique) -- Périodiques; Electronic journals; 006.33
• DOI: 10.1016/j.eswa.2015.02.047
• Languages: English
• ISSNs: 0957-4174

Abstract

<abstract xml:lang="en" abstract-type="author-highlights" id="ab010"> <title id="st040">Highlights</title> <sec> <p id="sp0010"> <list id="l0010"> <list-item id="o0010"> <label></label> <p id="p0350">Proposed technique use LBP based GLCM feature vector and multiple classifiers.</p> </list-item> <list-item id="o0015"> <label></label> <p id="p0355">We achieve over 92% accuracy for vegetation classification.</p> </list-item> <list-item id="o0020"> <label></label> <p id="p0360">Extensive experiments use 5-fold cross validation.</p> </list-item> <list-item id="o0025"> <label></label> <p id="p0365">The experiments were conducted on dense and sparse grasses.</p> </list-item> <list-item id="o0030"> <label></label> <p id="p0370">In future, extension will be done by introducing large dataset of grasses.</p> </list-item> </list> </p> </sec> </abstract>