A Method for Aircraft Labeling in Aerial and Satellite Images Based on Continuous Morphological Models
- Authors: Gavrilov D.A.1, Mestetskiy L.M.1,2, Semenov A.B.1,3
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Affiliations:
- Moscow Institute of Physics and Technology
- Moscow State University
- Tver State University
- Issue: Vol 45, No 6 (2019)
- Pages: 303-310
- Section: Article
- URL: https://journals.rcsi.science/0361-7688/article/view/176902
- DOI: https://doi.org/10.1134/S0361768819060021
- ID: 176902
Cite item
Abstract
A method of labeling aerial and satellite remote sensing images for detecting objects of a priori known shapes is proposed. The implementation of this method uses an algorithm of piecewise linear approximations of the boundary of template objects and an algorithm of transforming the template contour descriptions to fit them to images of objects in the photographs. The developed algorithms are tested using the practical problem of determining the types of aircraft in remote sensing images remote sensing images. It is shown that the proposed method improves the labeling accuracy and is faster than the manual detection of aircraft images in photographs.
About the authors
D. A. Gavrilov
Moscow Institute of Physics and Technology
Author for correspondence.
Email: gavrilov.da@mipt.ru
Russian Federation, Dolgoprudnyi, Moscow oblast, 141700
L. M. Mestetskiy
Moscow Institute of Physics and Technology; Moscow State University
Author for correspondence.
Email: mestlm@mail.ru
Russian Federation, Dolgoprudnyi, Moscow oblast, 141700; Moscow, 119991
A. B. Semenov
Moscow Institute of Physics and Technology; Tver State University
Author for correspondence.
Email: Semenov.AB@tversu.ru
Russian Federation, Dolgoprudnyi, Moscow oblast, 141700; Tver, 170100
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