Algorithm for Statistical Analysis of Multispectral Survey Data to Identify the Anthropogenic Impact of the 19th Century on the Natural Environment

An algorithm for statistical analysis of aerial photography data obtained by unmanned aerial vehicles is proposed. Segmentation of multispectral images by a complex of spectral and textural features makes it possible to identify areas of historical anthropogenic impact on the natural environment. Th...

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Veröffentlicht in:	Pattern recognition and image analysis 2021-04, Vol.31 (2), p.345-355
Hauptverfasser:	Zlobina, A. G., Shaura, A. S., Zhurbin, I. V., Bazhenova, A. I.
Format:	Artikel
Sprache:	eng
Schlagworte:	19th century Aerial photography Algorithms Application Problems Arable land Cartography Computer Science Human influences Image Processing and Computer Vision Image segmentation Iron and steel plants Near infrared radiation Pattern Recognition Principal components analysis Statistical analysis Unmanned aerial vehicles
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