A Method for Aircraft Labeling in Aerial and Satellite Images Based on Continuous Morphological Models
- 作者: Gavrilov D.A.1, Mestetskiy L.M.1,2, Semenov A.B.1,3
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隶属关系:
- Moscow Institute of Physics and Technology
- Moscow State University
- Tver State University
- 期: 卷 45, 编号 6 (2019)
- 页面: 303-310
- 栏目: Article
- URL: https://journals.rcsi.science/0361-7688/article/view/176902
- DOI: https://doi.org/10.1134/S0361768819060021
- ID: 176902
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详细
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.
作者简介
D. Gavrilov
Moscow Institute of Physics and Technology
编辑信件的主要联系方式.
Email: gavrilov.da@mipt.ru
俄罗斯联邦, Dolgoprudnyi, Moscow oblast, 141700
L. Mestetskiy
Moscow Institute of Physics and Technology; Moscow State University
编辑信件的主要联系方式.
Email: mestlm@mail.ru
俄罗斯联邦, Dolgoprudnyi, Moscow oblast, 141700; Moscow, 119991
A. Semenov
Moscow Institute of Physics and Technology; Tver State University
编辑信件的主要联系方式.
Email: Semenov.AB@tversu.ru
俄罗斯联邦, Dolgoprudnyi, Moscow oblast, 141700; Tver, 170100
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