INVESTIGATION OF LAND USE CLASSIFICATION ALGORITHMS USING IMAGES FUSION TECHNIQUES (CASE STUDY: BEHESHTABAD SUB-BASIN)

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FAZELI FARSANI A.; GHAZAVI R.; FARZANEH M.R.

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Journal: Journal of RS and GIS for Natural Resources Year:2015 | Volume:6 | Issue:1 Page(s): 91-105

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Title

INVESTIGATION OF LAND USE CLASSIFICATION ALGORITHMS USING IMAGES FUSION TECHNIQUES (CASE STUDY: BEHESHTABAD SUB-BASIN)

Author(s)

FAZELI FARSANI A. | GHAZAVI R. | FARZANEH M.R. | Issue Writer Certificate

Keywords

LAND USE CLASSIFICATIONQ2

IMAGES FUSION TECHNIQUESQ2

LANDSAT 8Q1

REMOTE SENSINGQ2

GEOGRAPHIC INFORMATION SYSTEM (GIS)Q2

Abstract

In recent decades, land use changes cause an important environmental, economical and social damage in the world. LAND USE CLASSIFICATION images are essential tools for land management and policy decisions. Fusion of REMOTE SENSING data could increase quality and intensify of data. The main aim of this study was investigated of LAND USE CLASSIFICATION algorithms (Support Vector Machine Background, Neural Net, and Maximum Likelihood) using a fusion of OLI REMOTE SENSING data using Geographic Information System (GIS). According to the results, Gram-Schmidt method had the best punctuality for taking of the firstly data and rebuilding of images. The results showed that Maximum likelihood method increased accuracy of PC_Sharpened and Gram-Schmidt algorithms. A significant accuracy in LAND USE CLASSIFICATION was observed via combination techniques.

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APA: Copy

FAZELI FARSANI, A., GHAZAVI, R., & FARZANEH, M.R.. (2015). INVESTIGATION OF LAND USE CLASSIFICATION ALGORITHMS USING IMAGES FUSION TECHNIQUES (CASE STUDY: BEHESHTABAD SUB-BASIN). JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE), 6(1), 91-105. SID. https://sid.ir/paper/189561/en

Vancouver: Copy

FAZELI FARSANI A., GHAZAVI R., FARZANEH M.R.. INVESTIGATION OF LAND USE CLASSIFICATION ALGORITHMS USING IMAGES FUSION TECHNIQUES (CASE STUDY: BEHESHTABAD SUB-BASIN). JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE)[Internet]. 2015;6(1):91-105. Available from: https://sid.ir/paper/189561/en

IEEE: Copy

A. FAZELI FARSANI, R. GHAZAVI, and M.R. FARZANEH, “INVESTIGATION OF LAND USE CLASSIFICATION ALGORITHMS USING IMAGES FUSION TECHNIQUES (CASE STUDY: BEHESHTABAD SUB-BASIN),” JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE), vol. 6, no. 1, pp. 91–105, 2015, [Online]. Available: https://sid.ir/paper/189561/en

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