THE EFFECT OF FEATURE SELECTION USING GENETIC ALGORITHMS ON SPECTRAL-SPATIAL CLASSIFICATION OF HYPER SPECTRAL IMAGERY

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AKBARI DAVOOD; SAFARI ABDOLREZA; KHAZAIE SAFA

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Journal: ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY Year:2015 | Volume:3 | Issue:1 Page(s): 45-60

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Title

THE EFFECT OF FEATURE SELECTION USING GENETIC ALGORITHMS ON SPECTRAL-SPATIAL CLASSIFICATION OF HYPER SPECTRAL IMAGERY

Author(s)

AKBARI DAVOOD | SAFARI ABDOLREZA | KHAZAIE SAFA | Issue Writer Certificate

Keywords

HYPER SPECTRAL IMAGEQ2

SPECTRAL-SPATIAL CLASSIFICATIONQ2

DIMENSIONALITY REDUCTIONQ2

GENETIC ALGORITHMQ2

Abstract

Hyper spectral remote sensing technologies have many applications in land cover classification and study their changes. With recent developments and create images with high spatial resolution, it is necessary the use of both spatial and spectral information in HYPER SPECTRAL IMAGE classification. In this paper, we have evaluated the effect of DIMENSIONALITY REDUCTION using GENETIC ALGORITHM on SPECTRAL-SPATIAL CLASSIFICATION of HYPER SPECTRAL IMAGEry. So far, among the various algorithms SPECTRAL-SPATIAL CLASSIFICATION of HYPER SPECTRAL IMAGEs, three segmentation algorithms, watershed, hierarchical and Minimum Spanning Forest (MSF) based on markers, combined with Support Vector Machines (SVM) to achieve the best results. In the proposed approach, the dimension of HYPER SPECTRAL IMAGEs is first reduced by using GENETIC ALGORITHM. Then, the three mentioned segmentation algorithms are applied on the resulting bands. Finally, the obtained segmentation maps are combined with SVM classification map using majority voting rule. The proposed approach was implemented on three hyper spectral data sets, the Pavia dataset, the Telops dataset, and the DC Mall dataset. The obtained experimental results indicate the superiority use of reduced bands in MSF based on markers algorithm and all bands in watershed and hierarchical based on markers algorithms.

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APA: Copy

AKBARI, DAVOOD, SAFARI, ABDOLREZA, & KHAZAIE, SAFA. (2015). THE EFFECT OF FEATURE SELECTION USING GENETIC ALGORITHMS ON SPECTRAL-SPATIAL CLASSIFICATION OF HYPER SPECTRAL IMAGERY. ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY, 3(1), 45-60. SID. https://sid.ir/paper/230117/en

Vancouver: Copy

AKBARI DAVOOD, SAFARI ABDOLREZA, KHAZAIE SAFA. THE EFFECT OF FEATURE SELECTION USING GENETIC ALGORITHMS ON SPECTRAL-SPATIAL CLASSIFICATION OF HYPER SPECTRAL IMAGERY. ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY[Internet]. 2015;3(1):45-60. Available from: https://sid.ir/paper/230117/en

IEEE: Copy

DAVOOD AKBARI, ABDOLREZA SAFARI, and SAFA KHAZAIE, “THE EFFECT OF FEATURE SELECTION USING GENETIC ALGORITHMS ON SPECTRAL-SPATIAL CLASSIFICATION OF HYPER SPECTRAL IMAGERY,” ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY, vol. 3, no. 1, pp. 45–60, 2015, [Online]. Available: https://sid.ir/paper/230117/en

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