A Data mining algorithm for hyperspectral images / (Record no. 57013)
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000 -LEADER | |
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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 |
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 |
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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 |