EVALUATION OF SLIC SUPERPIXEL AND DBSCAN CLUSTERING ALGORITHMS IN SEGMENTATION OF ULTRA-HIGH RESOLUTION REMOTE SENSING IMAGERY OVER URBAN AREAS

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Hadavand Ahmad; SAADATSERESHT MOHAMAD; HOMAYOUNI SAEED; GHARIB BAFGHI ZEINAB

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Paper Information

Journal: ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY Year:2017 | Volume:5 | Issue:1 Page(s): 89-110

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Title

EVALUATION OF SLIC SUPERPIXEL AND DBSCAN CLUSTERING ALGORITHMS IN SEGMENTATION OF ULTRA-HIGH RESOLUTION REMOTE SENSING IMAGERY OVER URBAN AREAS

Author(s)

Hadavand Ahmad | SAADATSERESHT MOHAMAD | HOMAYOUNI SAEED | GHARIB BAFGHI ZEINAB | Issue Writer Certificate

Keywords

SUPER-PIXELQ1

SEGMENTATIONQ2

ULTRA-HIGH RESOLUTION IMAGESQ1

REMOTE SENSINGQ1

Abstract

By increasing the spatial resolution of REMOTE SENSING imaging sensors, the image analyzing paradigm is moving towards the object based image analysis approaches, instead of single pixels. Among the common SEGMENTATION algorithms, SUPER-PIXEL methods are presenting themselves as the new tools in computer vision. In this paper, the capabilities of a state-of-the-art SUPER-PIXEL algorithm, namely called SLIC, is investigated for creating image segments from ultra-high resolution REMOTE SENSING images. In our proposed method, square and hexagonal SUPER-PIXELs were formed and then DBSCAN clustering algorithm is employed to build image segments from these pixels. The results were compared to image segments obtained from FNEA algorithm, a well-known method for REMOTE SENSING image SEGMENTATION. Visual and quantitative evaluations demonstrate the efficiency of proposed method.

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APA: Copy

Hadavand, Ahmad, SAADATSERESHT, MOHAMAD, HOMAYOUNI, SAEED, & GHARIB BAFGHI, ZEINAB. (2017). EVALUATION OF SLIC SUPERPIXEL AND DBSCAN CLUSTERING ALGORITHMS IN SEGMENTATION OF ULTRA-HIGH RESOLUTION REMOTE SENSING IMAGERY OVER URBAN AREAS. ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY, 5(1 ), 89-110. SID. https://sid.ir/paper/230090/en

Vancouver: Copy

Hadavand Ahmad, SAADATSERESHT MOHAMAD, HOMAYOUNI SAEED, GHARIB BAFGHI ZEINAB. EVALUATION OF SLIC SUPERPIXEL AND DBSCAN CLUSTERING ALGORITHMS IN SEGMENTATION OF ULTRA-HIGH RESOLUTION REMOTE SENSING IMAGERY OVER URBAN AREAS. ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY[Internet]. 2017;5(1 ):89-110. Available from: https://sid.ir/paper/230090/en

IEEE: Copy

Ahmad Hadavand, MOHAMAD SAADATSERESHT, SAEED HOMAYOUNI, and ZEINAB GHARIB BAFGHI, “EVALUATION OF SLIC SUPERPIXEL AND DBSCAN CLUSTERING ALGORITHMS IN SEGMENTATION OF ULTRA-HIGH RESOLUTION REMOTE SENSING IMAGERY OVER URBAN AREAS,” ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY, vol. 5, no. 1 , pp. 89–110, 2017, [Online]. Available: https://sid.ir/paper/230090/en

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