Application of shape moments for cloudiness assessment in marine environmental research
Authors:
- Marcin Paszkuta,
- Adam Krężel,
- Natalia Ryłko
Abstract
The search for clouds in satellite images is a challenging subject which still attracts a lot of attention due to the amount and quality of data, which is growing at a tremendous pace, the development of satellite techniques and methods, inexpensive equipment, and automation of satellite imaging processes. This paper presents a new approach to the assessment of cloudiness based on the use of the theory of moments with invariants. The values of moments with invariants, determined on the basis of the available cloudiness maps, create a new, valuable set of data, which are the geometrical parameters of the scene representing the cloud cover. In further research, the obtained data sets will be used in machine learning methods, deep machine learning methods, etc. The method is used for different conditions, including different angular positions of the Sun and time periods. The effectiveness of the method is checked on the basis of comparing the entropy results of the input maps after subtracting clouds masked by various methods. The obtained results additionally indicate the potential of the moments method as a support for the existing methods of estimating cloudiness over the sea surface.
- Record ID
- CUTe09286ce86c642fbbb92ff302ba63b1e
- Publication categories
- ; ;
- Author
- Journal series
- Remote Sensing, ISSN , e-ISSN 2072-4292, Biweekly
- Issue year
- 2022
- Vol
- 14
- No
- 4
- Pages
- [1-18]
- Article number
- 883
- Other elements of collation
- mapy; rys.; tab.; wykr.; Bibliografia (na s.) - 17-18; Bibliografia (liczba pozycji) - 26; Oznaczenie streszczenia - Abstr.; Numeracja w czasopiśmie - Vol. 14, Iss. 4
- Substantive notes
- This article belongs to the Special Issue: Explainable Deep Neural Networks for Remote Sensing Image Understanding
- Keywords in English
- statistical moments, cloudiness, Baltic Sea
- ASJC Classification
- DOI
- DOI:10.3390/rs14040883 Opening in a new tab
- URL
- https://www.mdpi.com/2072-4292/14/4/883 Opening in a new tab
- Language
- eng (en) English
- License
- Score (nominal)
- 0
- Score
- = 100.0
- Publication indicators
- Additional fields
- Indeksowana w: Web of Science, Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUTe09286ce86c642fbbb92ff302ba63b1e/
- URN
urn:pkr-prod:CUTe09286ce86c642fbbb92ff302ba63b1e
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.