THE METHOD FOR OBJECTS DETECTION ON SATELLITE IMAGERY BASED ON THE FIREFLY ALGORITHM
The subject matter of the article is the method for detecting of objects on satellite imagery based on the firefly algorithm. The goal is to develop a method for detecting of objects on satellite imagery based on the firefly algorithm. The tasks are: analysis of existing methods for detecting of obj...
Gespeichert in:
| Veröffentlicht in: | Сучасні інформаційні системи Jg. 8; H. 1; S. 5 - 11 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
National Technical University "Kharkiv Polytechnic Institute"
26.02.2024
|
| Schlagworte: | |
| ISSN: | 2522-9052 |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Abstract | The subject matter of the article is the method for detecting of objects on satellite imagery based on the firefly algorithm. The goal is to develop a method for detecting of objects on satellite imagery based on the firefly algorithm. The tasks are: analysis of existing methods for detecting of objects of interest on satellite imagery, development of a method for detecting of objects on satellite imagery, practical verification of the method for detecting of objects on satellite imagery based on the firefly algorithm, and quantitative assessment of the quality of the proposed method. The methods used are: methods of digital image processing, methods of data clustering, mathematical apparatus of matrix theory, methods of swarm intelligence, methods of mathematical modeling, methods of optimization theory, analytical and empirical methods of image comparison. The following results are obtained. The advantages and disadvantages of the main methods and approaches to the processing of satellite imagery for the purpose of detecting objects of interest on them are determined. The general principle of operation of the firefly algorithm is considered. It presents a flowchart of the method for detecting of objects on satellite imagery based on the firefly algorithm in one color channel. The values of the input data and parameters for the operation of the algorithm were selected experimentally. Experimental studies were conducted on the operation of the method for detecting of objects on a real satellite imagery based on the firefly algorithm. The values of the errors of the first and second kind for the processed image using the proposed method and the method based on the particle swarm algorithm were calculated. Conclusions. Analysis of the calculated values showed that the proposed method for detecting of objects on satellite imagery compared to the method based on the particle swarm algorithm: reduces the error of the first kind by about 11% and the error of the second kind by about 9%. The directions of further research are the study of the problem of selecting input parameters and data for the operation of the method based on the firefly algorithm. |
|---|---|
| AbstractList | The subject matter of the article is the method for detecting of objects on satellite imagery based on the firefly algorithm. The goal is to develop a method for detecting of objects on satellite imagery based on the firefly algorithm. The tasks are: analysis of existing methods for detecting of objects of interest on satellite imagery, development of a method for detecting of objects on satellite imagery, practical verification of the method for detecting of objects on satellite imagery based on the firefly algorithm, and quantitative assessment of the quality of the proposed method. The methods used are: methods of digital image processing, methods of data clustering, mathematical apparatus of matrix theory, methods of swarm intelligence, methods of mathematical modeling, methods of optimization theory, analytical and empirical methods of image comparison. The following results are obtained. The advantages and disadvantages of the main methods and approaches to the processing of satellite imagery for the purpose of detecting objects of interest on them are determined. The general principle of operation of the firefly algorithm is considered. It presents a flowchart of the method for detecting of objects on satellite imagery based on the firefly algorithm in one color channel. The values of the input data and parameters for the operation of the algorithm were selected experimentally. Experimental studies were conducted on the operation of the method for detecting of objects on a real satellite imagery based on the firefly algorithm. The values of the errors of the first and second kind for the processed image using the proposed method and the method based on the particle swarm algorithm were calculated. Conclusions. Analysis of the calculated values showed that the proposed method for detecting of objects on satellite imagery compared to the method based on the particle swarm algorithm: reduces the error of the first kind by about 11% and the error of the second kind by about 9%. The directions of further research are the study of the problem of selecting input parameters and data for the operation of the method based on the firefly algorithm. |
| Author | Glukhov, Sergey Khizhnyak, Irina Khudov, Hennadii Pavlii, Vladislav Shamrai, Nazar |
| Author_xml | – sequence: 1 givenname: Hennadii surname: Khudov fullname: Khudov, Hennadii – sequence: 2 givenname: Irina surname: Khizhnyak fullname: Khizhnyak, Irina – sequence: 3 givenname: Sergey surname: Glukhov fullname: Glukhov, Sergey – sequence: 4 givenname: Nazar surname: Shamrai fullname: Shamrai, Nazar – sequence: 5 givenname: Vladislav surname: Pavlii fullname: Pavlii, Vladislav |
| BookMark | eNo9kMtuwjAQRb2gUinlD7rwD4T6nXgZwJBUoZGCu2BlObZTgSipkm76902gQhrpau5ozuI8gcmlvQQAXjBaECRl8ko4IZFEnAw7YQu8QHgCpvf2Ecz7_oQQIhITLOQUaJ0puFM6K9dwU1awXL6pld7DtdJD5uU7HGafalUUuVYw36VbVR3gMt2r9Xga3zd5pTbFAabFtqxyne2ewUNjz32Y_-cMfGyUXmVRUW7zVVpEjpAYR5QyKx2tBUVISME4cSIJTVJbnHAXfCNQE1hNmSBWJhxRH1vLnfOxd5Qngc5AfuP61p7Md3f8st2vae3RXIu2-zS2-zm6czCxFDHmUnBRcxY3QaLEYoEbxr2va48GFruxXNf2fReaOw8jc5VrRo1m1GhGuQYbhOkfzSRnXw |
| ContentType | Journal Article |
| DBID | AAYXX CITATION DOA |
| DOI | 10.20998/2522-9052.2024.1.01 |
| DatabaseName | CrossRef DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | CrossRef |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website |
| DeliveryMethod | fulltext_linktorsrc |
| EndPage | 11 |
| ExternalDocumentID | oai_doaj_org_article_7967159656b547fe908a161f45ddbbd0 10_20998_2522_9052_2024_1_01 |
| GroupedDBID | AAYXX ALMA_UNASSIGNED_HOLDINGS CITATION GROUPED_DOAJ |
| ID | FETCH-LOGICAL-c2271-334a9c3b6300696452c68ef8ba185cedf60fe4b3462a98503d7aa5ccd7dc358e3 |
| IEDL.DBID | DOA |
| ISSN | 2522-9052 |
| IngestDate | Fri Oct 03 12:48:46 EDT 2025 Sat Nov 29 02:13:07 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 1 |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c2271-334a9c3b6300696452c68ef8ba185cedf60fe4b3462a98503d7aa5ccd7dc358e3 |
| OpenAccessLink | https://doaj.org/article/7967159656b547fe908a161f45ddbbd0 |
| PageCount | 7 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_7967159656b547fe908a161f45ddbbd0 crossref_primary_10_20998_2522_9052_2024_1_01 |
| PublicationCentury | 2000 |
| PublicationDate | 2024-02-26 |
| PublicationDateYYYYMMDD | 2024-02-26 |
| PublicationDate_xml | – month: 02 year: 2024 text: 2024-02-26 day: 26 |
| PublicationDecade | 2020 |
| PublicationTitle | Сучасні інформаційні системи |
| PublicationYear | 2024 |
| Publisher | National Technical University "Kharkiv Polytechnic Institute" |
| Publisher_xml | – name: National Technical University "Kharkiv Polytechnic Institute" |
| SSID | ssj0002912169 |
| Score | 2.3126528 |
| Snippet | The subject matter of the article is the method for detecting of objects on satellite imagery based on the firefly algorithm. The goal is to develop a method... |
| SourceID | doaj crossref |
| SourceType | Open Website Index Database |
| StartPage | 5 |
| SubjectTerms | Firefly Algorithm object satellite imagery segmentation swarm intelligence algorithm |
| Title | THE METHOD FOR OBJECTS DETECTION ON SATELLITE IMAGERY BASED ON THE FIREFLY ALGORITHM |
| URI | https://doaj.org/article/7967159656b547fe908a161f45ddbbd0 |
| Volume | 8 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals issn: 2522-9052 databaseCode: DOA dateStart: 20170101 customDbUrl: isFulltext: true dateEnd: 99991231 titleUrlDefault: https://www.doaj.org/ omitProxy: false ssIdentifier: ssj0002912169 providerName: Directory of Open Access Journals |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3Pa9swGBUj7LBL6ejG2m5Fh12dWLJkSUenUX5A0ozEg_Yk9MuwS1bSrH9_P8lpya2XgTFYtoV4n_H7HpLeh9BPKyLzjneFpKQqGGOusBROznNLgG6ttNldfynu7uT9vfp1UuorrQnr7YF74EZC1QIoF9IOx5nooioldEI6xkNwLmS1DlnPiZhK_2CqCCW5nh2FBKNQJaf9vrm0U1SO3hrhmrIhGR5rwrzy0ol9f-aZ6Tk6OyaIuOkH9hl9iLsL1LZzjVe6na8nGGQbXucqJVs80a3Oq0AwHNum1SDNW40Xq2amNw943Gz1JN1Kr08XGz1dPuBmOVtvFu189QX9nur2dl4c6yEUnlJBiqpiVvnKJZesWqUZSV_L2ElngXR9DF1ddpG5itXUKsnLKghrufdBBF9xGauvaLD7u4vfELbSOVGq4ECMMgUaL0ThiOeyVA5YU16i4hUN89jbXhiQCxk9k9AzCT2T0DPElOQSjRNkb88m0-rcAKE0x1Ca90J59T86uUaf0qjyrvP6Oxoc9v_iD_TRPx_-PO1v8lfyAjnytC0 |
| linkProvider | Directory of Open Access Journals |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=THE+METHOD+FOR+OBJECTS+DETECTION+ON+SATELLITE+IMAGERY+BASED+ON+THE+FIREFLY+ALGORITHM&rft.jtitle=%D0%A1%D1%83%D1%87%D0%B0%D1%81%D0%BD%D1%96+%D1%96%D0%BD%D1%84%D0%BE%D1%80%D0%BC%D0%B0%D1%86%D1%96%D0%B9%D0%BD%D1%96+%D1%81%D0%B8%D1%81%D1%82%D0%B5%D0%BC%D0%B8&rft.au=Hennadii+Khudov&rft.au=Irina+Khizhnyak&rft.au=Sergey+Glukhov&rft.au=Nazar+Shamrai&rft.date=2024-02-26&rft.pub=National+Technical+University+%22Kharkiv+Polytechnic+Institute%22&rft.issn=2522-9052&rft.volume=8&rft.issue=1&rft_id=info:doi/10.20998%2F2522-9052.2024.1.01&rft.externalDBID=DOA&rft.externalDocID=oai_doaj_org_article_7967159656b547fe908a161f45ddbbd0 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2522-9052&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2522-9052&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2522-9052&client=summon |