Comparative Analysis of Descriptors Construction Methods in Remote Sensing Images

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dc.creatorYusupov, O.R.
dc.creatorEshonqulov, E.Sh.
dc.date2023-12-26
dc.date.accessioned2024-03-25T11:46:40Z
dc.date.available2024-03-25T11:46:40Z
dc.descriptionA set of descriptors is used to solve real challenges in image registration, object search in images, and image comparison. The various types of descriptors that are addressed in this article include those that are based on gradients, spectral representation, local binary, shape, and basis function. Taking into account the acquisition of remote images at different times, on different devices, the appearance of deformations, the presence of occlusions, the methods of constructing descriptors, invariance to rotation, image contrast, intensity change, scale, deformation to occlusion stability were analyzed. Recommendations for further scientific research were given in the conclusion based on comparative analysis. Descriptors have been found to be important for registration of multiple remotely sensed images, image fusion, image search, object recognition in images, and change detection.en-US
dc.descriptionTasvirlarni taqqoslash, tasvirlarda obyektlarni qidirish, tasvirni roʻyxatdan oʻtkazish amaliy masalalari yechishda belgilar toʻplami tashkil etadigan deskriptorlardan foydalaniladi. Ushbu maqolada deskriptorlar qurish usullarining gradiyentga asoslangan deskriptorlar, spektral taqdim etishga asoslangan deskriptorlar, lokal binar deskriptorlar, shakl deskriptorlari, bazis funksiyasiga asoslangan deskriptorlar sinfi tegishli usullar tasvirlar uchun oʻrganilgan. Masofadan olingan tasvirlarning turli vaqtlarda olishi, turli qurilmalarda olinishi, deformatsiyalar paydo boʻlishi, okklyuziyalar boʻlishi hisobga olinib deskriptorlarni qurish usullari burilishga invariant, tasvir kontrast, intensivligini oʻzgarishi, masshtab, deformatsiya okklyuziyaga turgʻunligi tahlil etildi. Qiyosiy tahlillar asosida xulosa qismida keyingi ilmiy tadqiqot ishlari uchun tavsiyalar berildi. Deskriptorlar koʻplab masofadan olingan tasvirlarni roʻyxatga olish, tasvirni birlashtirish, tasvir boʻyicha qidirish, tasvirlarda obyektni tanib olish va oʻzgarishlarni aniqlash masalalarida muhim ekanligi qayd etildi.ru-RU
dc.formatapplication/pdf
dc.identifierhttps://ijdt.uz/index.php/ijdt/article/view/142
dc.identifier10.62132/ijdt.v6i4.142
dc.identifier.urihttps://dspace.umsida.ac.id/handle/123456789/36097
dc.languagerus
dc.publisherSamarkand branch of TUITru-RU
dc.relationhttps://ijdt.uz/index.php/ijdt/article/view/142/97
dc.rightsCopyright (c) 2023 Yusupov O.R.ru-RU
dc.rightshttps://creativecommons.org/licenses/by/4.0ru-RU
dc.sourceINTERNATIONAL JOURNAL OF THEORETICAL AND APPLIED ISSUES OF DIGITAL TECHNOLOGIES; Vol. 6 No. 4 (2023): International Journal of Theoretical and Applied Issues of Digital Technologies; 102-110en-US
dc.sourceМеждународный Журнал Теоретических и Прикладных Вопросов Цифровых Технологий; Том 6 № 4 (2023): Международный журнал теоретических и прикладных вопросов цифровых технологий; 102-110ru-RU
dc.source2181-3094
dc.source2181-3086
dc.subjectimageen-US
dc.subjectinvarianten-US
dc.subjectdescriptoren-US
dc.subjectimage processingen-US
dc.subjectfeature extractionen-US
dc.subjectdeformationen-US
dc.subjectcomputer visionen-US
dc.subjecttasvirru-RU
dc.subjectinvariantru-RU
dc.subjectdeskriptorru-RU
dc.subjecttasvirga ishlov berishru-RU
dc.subjectbelgilarni ajratib olishru-RU
dc.subjectdeformatsiyaru-RU
dc.subjectkompyuterli koʻrishru-RU
dc.titleComparative Analysis of Descriptors Construction Methods in Remote Sensing Imagesen-US
dc.titleMasofadan zondlash asosida olingan tasvirlarda deskriptorlarni qurish usullarining qiyosiy tahliliru-RU
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typeРецензированная статьяru-RU
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