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A Data mining algorithm for hyperspectral images / (Record no. 57013)

MARC details
000 -LEADER
fixed length control field 02784cam a2200349 a 4500
003 - CONTROL NUMBER IDENTIFIER
control field EG-GiCUC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250223031525.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 160525s2016 ua h 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 Ph.D
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number Cai01.20.04.Ph.D.2016.Mo.D
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Mohamed Abdou Saeed Almoghalis
245 12 - TITLE STATEMENT
Title A Data mining algorithm for hyperspectral images /
Statement of responsibility, etc. Mohamed Abdou Saeed Almoghalis ; Supervised Osman Hegazy Mohamed , Ibrahim Fahmi Imam , Ali Hamed Elbastawessi
246 15 - VARYING FORM OF TITLE
Title proper/short title خوارزمية للتنقيب فى بيانات الصور الفائقة الطيفية
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cairo :
Name of publisher, distributor, etc. Mohamed Abdou Saeed Almoghalis ,
Date of publication, distribution, etc. 2016
300 ## - PHYSICAL DESCRIPTION
Extent 80 Leaves :
Other physical details facsimiles ;
Dimensions 30cm
502 ## - DISSERTATION NOTE
Dissertation note Thesis (Ph.D.) - Cairo University - Faculty of Computers and Information - Department of Information Systems
520 ## - SUMMARY, ETC.
Summary, etc. Hyperspectral images (HSI) are used as a source of information to detect and discriminate the differences between land scales on Earth. In addition, HSI is used to study the changes that occur on these areas. Many unsupervised learning algorithms have been proposed to analyze and interpret the contents of Hyperspectral Images. However, these algorithms are tested against images with ground truth data or benchmark. For clustering algorithms, the number of clusters were identified according to prior knowledge known of such terrains. In practical, such knowledge are unknown. Identifying the correct number of clusters may differ from one algorithm to another. This study introduces a novel methodology to propose the correct number of clusters for clustering algorithms. This is done using by training a Support Vector Machine (SVM) classifier on the spectral information of a benchmark data. The spectral information is binary labeled either by correctly or incorrectly clustered. The purpose of the SVM classifier is to learn where the clustering algorithm can correctly cluster a pixel in the spectral space. Next, the clustering is applied on HSI with no ground truth. SVM classifier is used to validate the performance of the applied unsupervised learning algorithm applied to indicate the appropriate number of clusters. External cluster evaluation measures, Normalized Mutual Information of Purity Index, are used to accomplish this task
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Issued also as CD
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Algorithm
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Data mining
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Hyperspectral images
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Ali Hamed Elbastawessi ,
Relator term
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Ibrahim Fahmi Imam ,
Relator term
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Osman Hegazy Mohamed ,
Relator term
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://172.23.153.220/th.pdf">http://172.23.153.220/th.pdf</a>
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Nazla
Reviser Revisor
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Soheir
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 Cai01.20.04.Ph.D.2016.Mo.D 01010110069251000 22.09.2023 Thesis  
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة مخـــزن الرســائل الجـــامعية - البدروم 11.02.2024 Cai01.20.04.Ph.D.2016.Mo.D 01020110069251000 22.09.2023 CD - Rom 69251.CD