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Development and assessment of semi - automatic technique for object recognition and feature extraction from digital maps and satellite images / Zakaria Yehia Ahmed Abdelgawad ; Supervised Youssef Ibrahim Abdelaziz , Yasser Sherif Elmanadili

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Zakaria Yehia Ahmed Abdelgawad , 2010Description: 179P. : charts , facsimiles , maps ; 30cmOther title:
  • تطوير وتقييم برنامج شبه أوتوماتيكى لاستخراج العناصر والسمات من الخرائط الرقمية وصور الأقمار الصناعية [Added title page title]
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  • Issued also as CD
Dissertation note: Thesis (Ph.D.) - Cairo University - Faculty of Engineering - Department of Civil Engineering Summary: This research presents a novel methodology for the extraction and recognition of landmarks and polygons from base maps and images . The proposed method proceeds by recognizing the features in different layers using Template Matching that returns an image of the same size as the input one and detecting the features
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Item type Current library Home library Call number Copy number Status Date due Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.05.Ph.D.2010.Za.D (Browse shelf(Opens below)) Not for loan 01010110054987000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.05.Ph.D.2010.Za.D (Browse shelf(Opens below)) 54987.CD Not for loan 01020110054987000

Thesis (Ph.D.) - Cairo University - Faculty of Engineering - Department of Civil Engineering

This research presents a novel methodology for the extraction and recognition of landmarks and polygons from base maps and images . The proposed method proceeds by recognizing the features in different layers using Template Matching that returns an image of the same size as the input one and detecting the features

Issued also as CD

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