Land Use/ Cover Indices Classification of Satellite Images using Multiclass-SVM

Moe Moe Thu; Reenu; Su Wit Yi Aung

Land Use/ Cover Indices Classification of Satellite Images using Multiclass-SVM

August 2019

Vol-5, Issue-4

Paper ID: 10743

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Artificial Intelligence

Keywords

land cover indices classification Multiclass-SVM Satellite Images

Abstract

Land use and land cover information has become a vital component in current strategies for managing natural resources and monitoring environmental changes. For detection and classification of land cover, remote sensing has long been used as an excellent source of data for finding different types of data attribute present in the land cover. This paper presents land cover indices classification of satellite images using Multiclass-SVM classification algorithm. In this paper, four land cover indices: (1) building index, (2) water index, (3) vegetation index and (4) road index are classified. Then, confusion matrix is used to determine the accuracy of classifier for four different land cover indices.

License

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Author Information

#	Name	Institute / Affiliation
1	Moe Moe Thu	University of Computer Studies(Pathein)
2	Reenu	University of Computer Studies(Pathein)
3	Su Wit Yi Aung	University of Computer Studies(Thahton)

How to Cite

Use the following formats to cite this article in your research.

APA Style

Thu, Moe Moe, Reenu, & Aung, Su Wit Yi (2019). Land Use/ Cover Indices Classification of Satellite Images using Multiclass-SVM. International Journal of Advance Research and Innovative Ideas In Education, 5(4), 1295-1299.

MLA Style

Thu, Moe Moe, et al. "Land Use/ Cover Indices Classification of Satellite Images using Multiclass-SVM." International Journal of Advance Research and Innovative Ideas In Education, vol. 5, no. 4, 2019, pp. 1295-1299.

IEEE Style

Moe Moe Thu, Reenu, and Su Wit Yi Aung, "Land Use/ Cover Indices Classification of Satellite Images using Multiclass-SVM," International Journal of Advance Research and Innovative Ideas In Education, vol. 5, no. 4, pp. 1295-1299, 2019.

Vancouver Style

Thu Moe Moe, Reenu, Aung Su Wit Yi. Land Use/ Cover Indices Classification of Satellite Images using Multiclass-SVM. International Journal of Advance Research and Innovative Ideas In Education. 2019;5(4):1295-1299.

Harvard Style

Thu, Moe Moe, Reenu, & Aung, Su Wit Yi (2019) 'Land Use/ Cover Indices Classification of Satellite Images using Multiclass-SVM', International Journal of Advance Research and Innovative Ideas In Education, 5(4), pp. 1295-1299.

Chicago Style

Thu, Moe Moe, Reenu, and Su Wit Yi Aung. "Land Use/ Cover Indices Classification of Satellite Images using Multiclass-SVM." International Journal of Advance Research and Innovative Ideas In Education 5, no. 4 (2019): 1295-1299.

Turabian Style

Thu, Moe Moe, Reenu, and Su Wit Yi Aung. "Land Use/ Cover Indices Classification of Satellite Images using Multiclass-SVM." International Journal of Advance Research and Innovative Ideas In Education 5, no. 4 (2019): 1295-1299.