A statistical model for describing the texture of cloud cover images from satellite data
- Авторлар: Astafurov V.1,2, Kur’yanovich K.1, Skorokhodov A.1
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Мекемелер:
- Zuev Institute of Atmospheric Optics, Siberian Branch
- Tomsk State University of Control Systems and Radioelectronics
- Шығарылым: Том 42, № 4 (2017)
- Беттер: 248-257
- Бөлім: Article
- URL: https://journals.rcsi.science/1068-3739/article/view/230095
- DOI: https://doi.org/10.3103/S1068373917040057
- ID: 230095
Дәйексөз келтіру
Аннотация
A statistical model is proposed which describes the texture of the images of 25 types of clouds from the MODIS satellite data with the spatial resolution of 250 m. A technique is presented which compiles the sets of image segments with typical textures for different cloud types. To describe the texture, the following statistical methods are applied: Gray-Level Co-occurrences Matrix, Gray-Level Difference Vector, and Sum and Difference Histogram. The correlation analysis is used to form the sets of informative textural features for the images of different cloud types. Two-parameter distribution laws and the estimates of their parameters are presented which describe fluctuations in the efficient set of textural features of different cloud types.
Негізгі сөздер
Авторлар туралы
V. Astafurov
Zuev Institute of Atmospheric Optics, Siberian Branch; Tomsk State University of Control Systems and Radioelectronics
Хат алмасуға жауапты Автор.
Email: astafurov@iao.ru
Ресей, pl. Akademika Zueva 1, Tomsk, 634021; pr. Lenina 40, Tomsk, 634050
K. Kur’yanovich
Zuev Institute of Atmospheric Optics, Siberian Branch
Email: astafurov@iao.ru
Ресей, pl. Akademika Zueva 1, Tomsk, 634021
A. Skorokhodov
Zuev Institute of Atmospheric Optics, Siberian Branch
Email: astafurov@iao.ru
Ресей, pl. Akademika Zueva 1, Tomsk, 634021