O.P. Arkhipov, M.V. Tsukanov

Oryol Branch of Federal Research Center “Informatics and Management” of RAS (Oryol, Russia)

The development of automatic methods for comparing panoramas obtained at different times during the inspection flight of UAVs of the same area is currently an urgent and popular task. In this connection, a new algorithmic model for detecting anomalies on multi-time panoramas was proposed, based on the comparison of the found singular points and descriptors, establishing their mutual correspondence on panoramas, and highlighting the found differences in non-overlapping areas of anomalies.

The strategy aimed at bringing the panoramas to a single view and their subsequent synchronization is proposed. The results of the algorithm are presented, using the example of multi-time panoramas of the selected inspected area. We managed to synchronize the panoramas at different times to minimize differences in the shooting angles and illumination. Perform a search for anomalies on multi-time panoramas, excluding the selection of anomalies of the "noise" type and minor deviations in the color and geometric coordinates of special points. Sort the found anomalies by importance groups.

Arkhipov O.P., Tsukanov M.V. Incompatimic model of anomaly detection on different panoramas. Highly Available Systems. 2021.  V. 17. № 2. P. 5−10. DOI: https://doi.org/10.18127/j20729472-202102-01 (in Russian)

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10. Arhipov P.O., Cukanov M.V. informacionnaya model' tekhnologii korrekcii yarkosti i cveta pri sozdanii panoramnyh izobrazhenij. Sistemy vysokoj dostupnosti. 2020. V. 16. № 3. P. 46–51. DOI: 10.18127/j20729472-202003-04.
11. Arhipov P.O., Sidorkin I.I., Cukanov M.V. Algoritmicheskaya model' tekhnologii minimizacii iskazhenij pri sshivanii snimkov, poluchennyh s BPLA. Sistemy vysokoj dostupnosti. 2018. № 5. P. 30–35. DOI 10.18127/j20729472-201805-04.
12. Biblioteka komp`yuternogo zreniya OpenCV – URL: https://opencv.org
13. Biblioteka obrabotki izobrazhenij Scikit-Image – URL: https://scikit-image.org
14. Leutenegger S., Chli M., Siegwart R. BRISK: Binary Robust invariant scalable keypoints. IEEE international Conference on Computer Vision. November 2011.
15. Lowe D.G. Object recognition from local scale-invariant features, international Conference on Computer Vision, Corfu, Greece (September 1999). P. 1150–1157.
16. Lowe D.G. Distinctive image features from scale-invariant keypoints. international Journal of Computer Vision. 2004. V. 60. № 2. P. 91–110.
17. Nixon M.S., Aguado A.S. Feature Extraction and Image Processing. Academic Press. 2008. 
18. Gonsales R., Vuds R. Cifrovaya obrabotka izobrazhenij. M.: Texnosfera. 2005. 1007 s.