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 |