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شطر و دمج المناطق لصور الاقمار الصناعية باستخدام خوارزمية التحليل العنقود غير الهرمية
Other Title(s)
Split and merge regions of satellite images using the non-hierarchical algorithm of cluster analysis
Joint Authors
محمد عبد الودود محمد
الراوي، أسماء غالب
Source
مجلة العلوم الاقتصادية و الإدارية
Issue
Vol. 25, Issue 111 (30 Apr. 2019), pp.466-484, 19 p.
Publisher
University of Baghdad College of Administration and Economics
Publication Date
2019-04-30
Country of Publication
Iraq
No. of Pages
19
Main Subjects
Topics
Abstract EN
Abstract: Image segmentation is one of main and necessary goals in image processing for digital image, it seeks to segment the studied images into multiple useful regions that summarizing interest regions for satellite images, which are multispectral images equipped by satellites using the concept of remote sensing, which has become an important concepts that it's applications used in most of the necessities of daily life, especially after the rapid developments in various fields of life that many of these fields have used algorithms and software techniques, these images are very necessary to enable us to study a wide range of goals in many scientific fields, in this research, the nonhierarchical cluster analysis algorithm was used as a method of image segmentation (splitting and merging regions) in order to demonstrate the importance of using statistical methods in image processing tasks, such as image segmentation, where (K-Means) technique was used to implement this task, this algorithm was applied on multispectral satellite image of a scene from western Iraq, where the results showed the flexibility of this algorithm in dealing with the disparity in the lighting of color image pixels and it's efficiency of formation clustering region that composed from groups of homogeneous pixels in there degree of illumination intensity, finally, the ability of this algorithm to give a good quality images which are measured using peak signal to noise ratio (PSNR) scale to measure image quality .
American Psychological Association (APA)
الراوي، أسماء غالب ومحمد عبد الودود محمد. 2019. شطر و دمج المناطق لصور الاقمار الصناعية باستخدام خوارزمية التحليل العنقود غير الهرمية. مجلة العلوم الاقتصادية و الإدارية،مج. 25، ع. 111، ص ص. 466-484.
https://search.emarefa.net/detail/BIM-888581
Modern Language Association (MLA)
الراوي، أسماء غالب ومحمد عبد الودود محمد. شطر و دمج المناطق لصور الاقمار الصناعية باستخدام خوارزمية التحليل العنقود غير الهرمية. مجلة العلوم الاقتصادية و الإدارية مج. 25، ع. 111 (2019)، ص ص. 466-484.
https://search.emarefa.net/detail/BIM-888581
American Medical Association (AMA)
الراوي، أسماء غالب ومحمد عبد الودود محمد. شطر و دمج المناطق لصور الاقمار الصناعية باستخدام خوارزمية التحليل العنقود غير الهرمية. مجلة العلوم الاقتصادية و الإدارية. 2019. مج. 25، ع. 111، ص ص. 466-484.
https://search.emarefa.net/detail/BIM-888581
Data Type
Journal Articles
Language
Arabic
Notes
يتضمن مراجع ببليوجرافية : ص. 482-483
Record ID
BIM-888581