publication . Article . 2016

The Study of Land Use Classification Based on SPOT6 High Resolution Data

Song Wu; Qigang Jiang;
Open Access English
  • Published: 01 Jan 2016 Journal: MATEC Web of Conferences (issn: 2261-236X, Copyright policy)
  • Publisher: EDP Sciences
Abstract
A method is carried out to quick classification extract of the type of land use in agricultural areas, which is based on the spot6 high resolution remote sensing classification data and used of the good nonlinear classification ability of support vector machine. The results show that the spot6 high resolution remote sensing classification data can realize land classification efficiently, the overall classification accuracy reached 88.79% and Kappa factor is 0.8632 which means that the classification result of support vector machine is ideal and better than other traditional image classification method. So, the method which is used high-resolution satellite provi...
Subjects
ACM Computing Classification System: ComputingMethodologies_PATTERNRECOGNITION
free text keywords: Engineering (General). Civil engineering (General), TA1-2040, Contextual image classification, Satellite, Nonlinear classification, Land use, Data mining, computer.software_genre, computer, Geography, Support vector machine
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