Segmentation of atmospheric clouds images obtained by remote sensing

被引：0

作者：

Rusyn, Bohdan ^{[1
,2
]}

Lutsyk, Oleksiy ^{[1
]}

Kosarevych, Rostyslav ^{[1
]}

Korniy, Valentyna ^{[1
]}

机构：

[1] NAS Ukraine, Karpenko Physicomech Inst, Dept Methods & Syst Remote Sensing, Lvov, Ukraine

[2] Univ Technol & Humanities, Radom, Poland

来源：

2018 14TH INTERNATIONAL CONFERENCE ON ADVANCED TRENDS IN RADIOELECTRONICS, TELECOMMUNICATIONS AND COMPUTER ENGINEERING (TCSET) | 2018年

关键词：

cloud segmentation; image processing; thresholding; deep learning; remote sensing; CLASSIFICATION;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Forecasting of clouds is not a new task, but its relevance is increasing every year. The work proposes new algorithm for segmentation of cloud images. The analysis of proposed approaches for the cloudiness segmentation problem is carried out. The advantages of the described approaches are presented. The research was carried out within the framework of the project provided by the State Fund for Fundamental Research.

引用

页码：213 / 216

页数：4

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