Call for Papers 2024 |
Feb 2024 - Volume 16, Issue 1
Deadline: 15 Jan 2025
Publication: 20 Feb 2025
Dec 2024 - Volume 16, Issue 2
Deadline: 15 Mar 2024
Publication: 20 Apr 2024
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ABSTRACT
Title |
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OBJECT BASED SEGMENTATION TECHNIQUES FOR CLASSIFICATION OF SATELLITE IMAGE |
Authors |
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B.Ankayarkanni, Ezil Sam Leni |
Keywords |
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High resolution image, GIS, K-means, KFCM, Moving KFCM. |
Issue Date |
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Jun-Jul 2014 |
Abstract |
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Automatic feature extraction of features such as building, roads, vegetation etc., which also includes collapsed, height-changed and removed buildings, require the use of high resolution images. This research is helpful to develop a technique that can detect changes in urban buildings after natural disasters such as earthquakes, typhoons or tsunamis. This is also helpful in providing an accurate information about the changes for urban planning and updating Geo-spatial information system (GIS).It is necessary that the remote sensing imagery has to be converted into some meaning information, which in turn requires some segmentation methods followed by classification. Earlier pixel based approaches was followed which requires more computation on these high resolution images .This paper proposes few object based method (K-means , KFCM , Moving KFCM)for classification that segments the image followed by classification. |
Page(s) |
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120-125 |
ISSN |
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0976-5166 |
Source |
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Vol. 5, No.3 |
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