Detection of anthropogenic objects of aero-images based on geometric parameters of the edge of homogeneous areas
- Р Р‡.МессенРТвЂВВВВВВВВжер
- РћРТвЂВВВВВВВВнокласснРСвЂВВВВВВВВРєРСвЂВВВВВВВВ
- LiveJournal
- Telegram
- ВКонтакте
- РЎРєРѕРїРСвЂВВВВВВВВровать ссылку
Full Text:
Abstract
An algorithm for searching for anthropogenic objects of air image on the basis of analysis of geometric parameters of the edges of homogeneous regions features is proposed. It is shown that the proposed algorithm makes it possible to reduce the errors of the first and second kind with respect to the algorithm for searching for spatial anomalies due to taking into account the values of multi-segment form factors and the concentration of corners and end points of normalized in thickness edge of segments with uniform brightness with a decrease in speed.
About the Authors
A. G. Shauchuk
Belarusian state university of informatics and radioelectronics
Belarus
Belarus
V. Yu. Tsviatkou
Belarusian state university of informatics and radioelectronics
Belarus
Belarus
References
1. Weng Q.Remote Sensing and GIS Integration: Theories, Methods, and Applications: Theory, Methods, and Applications. McGraw-Hill Education, 2009. 416 p.
2. Vezhnevets A.P. Metody klassifikatsii s obucheniem po pretsedentam v zadache raspoznavaniya ob"ektov na izobrazheniyakh // Mezhdunarodnaya konferentsiya komp'yuternoi grafiki i zreniya [Elektronnyi resurs]. -URL: http://graphicon.ru/html/2006/proceedings/papers/fr10_34_VezhnevetsA.pdf (data obrashcheniya: 13.02.2018).
3. Starovoitov V.V. Lokal'nye geometricheskie metody tsifrovoi obrabotki i analiza izobrazhenii // Minsk: ITK NAN Belarusi, 1997. 284 s.
4. Borzov S.M., Potaturkin O.I. Obnaruzhenie antropogennykh zon na osnove poiska prostranstvennykh anomalii v krupnomasshtabnykh sputnikovykh izobrazheniyakh // Avtometriya. 2012. № 5. S. 104-111.
5. Borzov S.M., Potaturkin A.O. Issledovanie effektivnosti prostranstvennykh priznakov pri klassifikatsii sputnikovykh izobrazhenii razlichnogo masshtaba // Vest. NGU. Ser. Inform. tekhnologii. 2012. № 3. S. 58-65.
6. St. 1. Zakon Resp. Bel. «Ob okhrane okruzhayushchei sredy» ot 26 noyabrya 1992 g. № 1982-XІІ.
7. Shevchuk O.G., Zelenin A.S. Sistema geometricheskikh priznakov antropogennykh ob"ektov // Mater. mezhdunar. nauch.-tekhn. seminara «Telekommunikatsii: seti i tekhnologii, algebraicheskoe kodirovanie i bezopasnost' dannykh». Minsk, apr.-dek. 2017 g. Minsk, 2017. S. 5-9.
8. Bondina N.N., Kalmychkov A.S., Kriventsov V.E. Sravnitel'nyi analiz algoritmov fil'tratsii // Іnformatika і modelyuvannya. Vyp. 38. Kh.:NTU KhPI. 2012. S. 15-19.
9. Shih F.Y., Cheng S. Automatic seeded region growing for color image segmentation // Image and Vision Computing. Newark. 2005. № 23. P. 877-886.
10. Canny J.A Computational Approach to Edge Detection // IEEE Trans. Pattern Analysis and Machine Intelligence. 1986. Vol. 8, № 6. P. 679-698.
11. Brice S.R., Fenema S.L. Scene Analysis Using Regions // Artificial Intelligence. 1970. № 1. P. 205-226.
12. Shevchuk O.G., Tsvetkov V.Yu. Normalizatsiya konturnykh linii po tolshchine na osnove masochnogo analiza lokal'nykh orientatsii ikh fragmentov // Informatika. 2016. № 51. S. 14-24.
13. Shevchuk O.G., Kramkov D.A. Detektirovanie pryamykh linii na izobrazhenii s ispol'zovaniem evklidova form-faktora // Dokl. XVI Mezhdunar. konf. «Razvitie informatizatsii i gosudarstvennoi sistemy nauchno-tekhnicheskoi informatsii (RINTI-2017)». Minsk, 16 noyab. 2017 g. Minsk, 2017. S. 167-173.
14. Borodina O.G., Tsvetkov V.Yu. Vydelenie izolirovannykh pryamykh linii na izobrazheniyakh s ispol'zovaniem form-faktora // Izv. SPbGETU «LETI». 2015. № 1. C. 41-45.
15. Shevchuk O.G., Tsvetkov V.Yu. Poisk izlomov konturov izobrazhenii na osnove rasshiryaemykh masok // Dokl. BGUIR. 2016. № 7 (101). C. 221-225.
16. Shevchuk O.G. Detektirovanie pryamykh linii na osnove form-faktora // Mater. mezhdunar. nauch.-tekhn. seminara «Telekommunikatsii: seti i tekhnologii, algebraicheskoe kodirovanie i bezopasnost' dannykh». Ch. 2. Minsk, apr.-dek. 2016 g. Minsk, 2016. S. 5-10.
Review
For citations:
Shauchuk A.G., Tsviatkou V.Yu. Detection of anthropogenic objects of aero-images based on geometric parameters of the edge of homogeneous areas. Doklady BGUIR. 2018;(1):84-90. (In Russ.)
Views:
507
ISSN 1729-7648 (Print)
ISSN 2708-0382 (Online)
ISSN 2708-0382 (Online)
Email this article 