THE METHOD OF OPTIMAL HYPERSPECTRAL SEGMENTATION OF AERIAL AND SPACE IMAGES. APPLICATION FOR ASSESSING THE DYNAMICS OF CHANGES IN THE STATE OF LANDSCAPE ELEMENTS

Author(s): Asadov H.H. ogly, Suleymanova Y.J. gyzy

Rubric: Information technology

DOI: 10.21777/2500-2112-2022-2-43-48

Release: 2022-2 (39)

Pages: 43-48

Keywords: remote sensing, hyperspectrometer, color segmentation, landscape, optimization problem

Annotation: In order to solve the problems of remote sensing of the studied landscapes, color segmentation is currently mainly implemented on the basis of multi- and hyperspectral analysis. The issue of assessment of the informative value of hyperspectrometer signals is inextricably linked with the evaluation of the signal-to-noise ratio at the output of these devices. The article analyzes the noise characteristics of modern multi- and hyperspectral technology. An extreme information approach to color segmentation of multi- and hyperspectral images is proposed. The optimization problem of the best assessment of changes, in terms of information, that have occurred in the landscape using the variational optimization method is formulated and solved. A technique for assessing the dynamics of changes in the state of landscape elements is proposed.

Bibliography: Asadov H..OG., Suleymanova Y..GY. THE METHOD OF OPTIMAL HYPERSPECTRAL SEGMENTATION OF AERIAL AND SPACE IMAGES. APPLICATION FOR ASSESSING THE DYNAMICS OF CHANGES IN THE STATE OF LANDSCAPE ELEMENTS // Education Resources and Technologies. – 2022. – № 2 (39). – С. 43-48. doi: 10.21777/2500-2112-2022-2-43-48