header

Satellite image segmentation and pansharpening using multi-task learning / (Record no. 77483)

MARC details
000 -LEADER
fixed length control field 02360cam a2200325 a 4500
003 - CONTROL NUMBER IDENTIFIER
control field EG-GiCUC
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200901s2020 ua dhb f m 000 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency EG-GiCUC
Language of cataloging eng
Transcribing agency EG-GiCUC
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title eng
049 ## - LOCAL HOLDINGS (OCLC)
Holding library Deposite
097 ## - Thesis Degree
Thesis Level M.Sc
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number Cai01.13.06.M.Sc.2020.An.S
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Andrew Emel Nessem Kelada Khalel
245 10 - TITLE STATEMENT
Title Satellite image segmentation and pansharpening using multi-task learning /
Statement of responsibility, etc. Andrew Emel Nessem Kelada Khalel ; Supervised Magda Bahaa Eldin Fayek , Amir Fouad Surial Atiya , Motaz Elsaban
246 15 - VARYING FORM OF TITLE
Title proper/short title تقسيم صورة القمر الصناعى وتحريرها باستخدام تعلم المهام المتعددة
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cairo :
Name of publisher, distributor, etc. Andrew Emel Nessem Kelada Khalel ,
Date of publication, distribution, etc. 2020
300 ## - PHYSICAL DESCRIPTION
Extent 75 P. :
Other physical details charts , facimiles , maps ;
Dimensions 30cm
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Computer Engineering
520 ## - SUMMARY, ETC.
Summary, etc. Due to technical limitations, satellite imagery sensors capture two separate images simultaneously : high resolution panchromatic image PAN and low resolution multispectral image MS. Normally, these two images are fused together to obtain images having rich spectral information as well as high spatial resolution. This fusion process is called pansharpening. Images produced from pansharpening suffer loss of information that existed in original images.Our contribution is twofold. First, we propose a new loss function for better panshaprening. Second, we introduce a multi-task framework that takes MS and PAN images as inputs and generate high resolution multispectral images together with densely labeled maps. Results show that the proposed loss function yields better optimization compared to other loss functions from the literature. Additionally, learning pansharpening and dense labeling tasks jointly is shown to exhibit better performance than each individual task. We also show that our approach outperforms the existing approaches in the literature
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Issued also as CD
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Deep learning
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Satellite imagery
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Segmentation
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Amir Fouad Surial Atiya ,
Relator term
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Magda Bahaa Eldin Fayek ,
Relator term
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Motaz Elsaban ,
Relator term
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Nazla
Reviser Revisor
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Shimaa
Reviser Cataloger
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Thesis
Holdings
Source of classification or shelving scheme Not for loan Home library Current library Date acquired Full call number Barcode Date last seen Koha item type Copy number
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة قاعة الرسائل الجامعية - الدور الاول 11.02.2024 Cai01.13.06.M.Sc.2020.An.S 01010110081376000 22.09.2023 Thesis  
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة مخـــزن الرســائل الجـــامعية - البدروم 11.02.2024 Cai01.13.06.M.Sc.2020.An.S 01020110081376000 22.09.2023 CD - Rom 81376.CD