Сибирский федеральный университет

Тип публикации: статья из журнала

Год издания: 2020

Идентификатор DOI: 10.21046/2070-7401-2020-17-5-35-44

Ключевые слова: cloudiness, geometrical concentration, image processing, image quality assessment, remote sensing

Аннотация: The paper considers calculation methods of an objective satellite imaging quality assessment criterion based on geometrical concentration of image defects. Areas covered with clouds are considered as defects. An objective assessment implies an automatic calculation mode without the involvement of expert groups. Calculation of the geometrical concentration of objects on the plane based on Delaunay triangulation allows to proceed to the level of relational structures analysis, taking into account the information about mutual position of the objects in the image, and moreover to assess the nature of defects positioning in the form of a cloud cover. The paper shows the advantage of the proposed criterion of satellite image quality in comparison with the assessment based on the percentage of cloudiness. This criterion can be used in satellite data catalogs when selecting data for thematic processing. Approbation of calculation methods was conducted using random sampling of satellite images; the obtained quantitative results characterize the degree of images applicability for thematic processing. Recommendations for the application of the criterion under consideration in the selection and filtering of satellite images in the tasks of agricultural monitoring are formulated. © 2020 Space Research Institute of the Russian Academy of Sciences. All rights reserved.

Журнал: Sovremennye Problemy Distantsionnogo Zondirovaniya Zemli iz Kosmosa

Выпуск журнала: Vol. 17, Is. 5

Номера страниц: 35-44

ISSN журнала: 20707401

Издатель: Space Research Institute of the Russian Academy of Sciences

• Maltsev E.A. (Skolkovo Institute of Science and Technology, Moscow, 121205, Russian Federation)
• Maglinets Yu.A. (Institute of Space and Information Technologies, Siberian Federal University, Krasnoyarsk, 660041, Russian Federation)
• Brezhnev R.V. (Institute of Space and Information Technologies, Siberian Federal University, Krasnoyarsk, 660041, Russian Federation)

• Scopus
• Ядро РИНЦ (eLIBRARY.RU)