Parameters optimization of the novel probabilistic algorithm for improving spatial resolution of multispectral satellite images


如何引用文章

全文:

开放存取 开放存取
受限制的访问 ##reader.subscriptionAccessGranted##
受限制的访问 订阅存取

详细

A probabilistic method for improving the spatial resolution of multispectral space images using a reference image is proposed. The developed method calculates the mathematical expectation of pixel brightness in different channels of an improved multispectral image based on the probabilistic characteristics of the pixel neighborhood on the multispectral image and the overall brightness intensity of the panchromatic image at that point. The applicability of different metrics for evaluating the quality of the spatial resolution of satellite images is analyzed. A set of the most adequate quality evaluation metrics is used. An optimization procedure is developed to adjust the parameters of the proposed probabilistic resolution improvement method. The results of testing the method on the multi-spectral images obtained from different satellites in different spatial resolutions are presented. The efficiency of the algorithm is tested at different magnification scales. A comparative analysis of the results of the proposed method with similar approaches is conducted.

作者简介

K. Gorokhovskiy

Institute for Scientific Research of Aerospace Monitoring AEROCOSMOS

Email: vladimir.ignatiev.mipt@gmail.com
俄罗斯联邦, Moscow

V. Ignatiev

Institute for Scientific Research of Aerospace Monitoring AEROCOSMOS; Dorodnicyn Computing Centre

编辑信件的主要联系方式.
Email: vladimir.ignatiev.mipt@gmail.com
俄罗斯联邦, Moscow; Moscow

A. Murynin

Institute for Scientific Research of Aerospace Monitoring AEROCOSMOS; Dorodnicyn Computing Centre

Email: vladimir.ignatiev.mipt@gmail.com
俄罗斯联邦, Moscow; Moscow

K. Rakova

Institute for Scientific Research of Aerospace Monitoring AEROCOSMOS; Moscow Institute of Physics and Technology

Email: vladimir.ignatiev.mipt@gmail.com
俄罗斯联邦, Moscow; Moscow


版权所有 © Pleiades Publishing, Ltd., 2017
##common.cookie##