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Image fusion of multisource remote sensing techniques / Rabie A.Mahmoud ; Supervised Ahmed Fouad Mohamed Fouad Ghaleb , Hoda M.Onsi Ali

By: Contributor(s): Language: Eng Publication details: Cairo : Rabie A.Mahmoud , 2006Description: 166P : Facsimiles ; 30cmOther title:
  • تقنيات دمج صور الاستشعار عن بعد المتعددة المصادر [Added title page title]
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  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty Of Science - Department Of Mathematics Summary: The fusion of images is the process of combining two or more images into a single image retaining important features from each Fusion of high - spectral / low - spatial resolution multispectral and low - spectral / high - spatial resolution panchromatic satellite images is a very useful technique in various applications in remote sensing Hue - Saturation Intensity (HSI) , Brovey Transform , Principal Component Analysis (PCA) , and wavelet fusion methods provide high quality in fused images
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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 Cai01.12.17.M.Sc.2006.Ra.I (Browse shelf(Opens below)) Not for loan 01010110046785000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.12.17.M.Sc.2006.Ra.I (Browse shelf(Opens below)) 46785.CD Not for loan 01020110046785000

Thesis (M.Sc.) - Cairo University - Faculty Of Science - Department Of Mathematics

The fusion of images is the process of combining two or more images into a single image retaining important features from each Fusion of high - spectral / low - spatial resolution multispectral and low - spectral / high - spatial resolution panchromatic satellite images is a very useful technique in various applications in remote sensing Hue - Saturation Intensity (HSI) , Brovey Transform , Principal Component Analysis (PCA) , and wavelet fusion methods provide high quality in fused images

Issued also as CD

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