Integration of spectral information into support vector machine for land cover classification

• Main Authors: Md. Sap, Mohd. Noor, Kohram, Mojtaba
• Format: Article
• Language: English
• Published: Penerbit UTM Press 2007
• Subjects: ZA4050 Electronic information resources
• Online Access: http://eprints.utm.my/id/eprint/8184/1/MohdNoorMd2007_IntegrationOfSpectralInformation.PDF; http://eprints.utm.my/id/eprint/8184/
• Institution: Universiti Teknologi Malaysia

Support vector machines (SVM) have been widely used for classification purposes. These learning machines are based on classification of data through a kernel function. Classically these kernel functions are either based the Euclidean distance of two data vectors or their dot products. This is a gene...