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An adaptive active contour model for building extraction from aerial images
العناوين الأخرى
نموذج كنتور نشط محسن لاجتزاء المباني من الصور الجوية
مقدم أطروحة جامعية
Awdah, Muhammad Abd al-Hamid Muhammad
مشرف أطروحة جامعية
أعضاء اللجنة
Mghari, Ashraf Yunus
Salamah, Sami Abd Allah
الجامعة
الجامعة الإسلامية
الكلية
كلية تكنولوجيا المعلومات
دولة الجامعة
فلسطين (قطاع غزة)
الدرجة العلمية
ماجستير
تاريخ الدرجة العلمية
2016
الملخص الإنجليزي
Building extraction from aerial images is one of the recent topics of remote sensing that used in many applications such as urban planning, disaster management, military planning, and Geographic Information Systems (GIS).
One of the most used approaches in building extraction is the Active Contour Model (ACM) or snakes for its ability to extract contours of structured and unstructured shapes of objects.
However, using the traditional ACM snake model in building extraction and other fields faces the problem of extracting contours of concavity regions, because snake points cannot converge inside narrow concavity regions during its movement.
In this research we proposed to solve extraction contours of concavity regions problem by adapting coefficients of ACM forces during snake iterations by adding a concavity index to indicate that snake points stop in a concave region or not.
Then adapt these coefficients in term of concavity index value, to allow snake converge inside concavity region.
Our adaptive model was tested on different sets of sub aerial images of buildings that contain concavity regions, we show the results and evaluate these results using two evaluation methods, the first evaluation method done in terms of accuracy, precision and recall.
And the second evaluation method evaluates the Error Distance Ratio (???) which is the average ratio of distance between each snake point and the true edge map point (by pixels), the result values is compared with the GVF snake model, which is an important improved ACM model that solved the concavity contour extraction problem.
In addition, we test and compare the execution time of our adaptive ACM model and GVF model.
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
عدد الصفحات
64
قائمة المحتويات
Table of contents.
Abstract.
Abstract in Arabic.
[Chapter One] : Introduction.
[Chapter Two] : Theoretical background.
[Chapter Three] : Related work.
[Chapter Four] : Proposed ACM model.
[Chapter Five] : Experimental results and evaluation.
[Chapter Six] : Conclusion and future work.
References.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Awdah, Muhammad Abd al-Hamid Muhammad. (2016). An adaptive active contour model for building extraction from aerial images. (Master's theses Theses and Dissertations Master). Islamic University, Palestine (Gaza Strip)
https://search.emarefa.net/detail/BIM-688732
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Awdah, Muhammad Abd al-Hamid Muhammad. An adaptive active contour model for building extraction from aerial images. (Master's theses Theses and Dissertations Master). Islamic University. (2016).
https://search.emarefa.net/detail/BIM-688732
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Awdah, Muhammad Abd al-Hamid Muhammad. (2016). An adaptive active contour model for building extraction from aerial images. (Master's theses Theses and Dissertations Master). Islamic University, Palestine (Gaza Strip)
https://search.emarefa.net/detail/BIM-688732
لغة النص
الإنجليزية
نوع البيانات
رسائل جامعية
رقم السجل
BIM-688732
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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