Тип публикации: статья из журнала

Год издания: 2021

Ключевые слова: data compression, earth remote sensing (ers), information loss, multispectral satellite imagery, uncontrolled classification

Аннотация: A quantitative and qualitative assessment of the effect of lossy compression on the results of uncontrolled classification of satellite imagery has been performed. The efficiency of compression algorithms for multispectral satellite imagery has been compared. The MRSID format provides the best compression, but it also contributes tПоказать полностьюhe errors to the classification results. The JPEG2000 format makes the smallest errors in the classification results with average compression. © 2020 International Research Publication House. All rights reserved.

Журнал: International Journal of Engineering Research and Technology

Выпуск журнала: Vol. 13, Is. 12

Номера страниц: 4816-4819

ISSN журнала: 09743154

Издатель: International Research Publication House

• Mozgovoy D. (Oles Honchar Dnipro National University, Dnipro, Ukraine)
• Tsarev R. (Siberian Federal University, Krasnoyarsk, Russian Federation, Krasnoyarsk State Agrarian University, Krasnoyarsk, Russian Federation)
• Svinarenko D. (Oles Honchar Dnipro National University, Dnipro, Ukraine)
• Kuzmich R. (Siberian Federal University, Krasnoyarsk, Russian Federation)
• Ikonnikov O. (Siberian Federal University, Krasnoyarsk, Russian Federation, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russian Federation)

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