文章基本信息

标题：Improving the Efficiency of the ERS Data Analysis Techniques by Taking into Account the Neighborhood Descriptors
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作者：Stanislav Yamashkin ; Milan Radovanović ; Anatoliy Yamashkin 等
期刊名称：Data
印刷版ISSN：2306-5729
出版年度：2018
卷号：3
期号：2
页码：18-33
DOI：10.3390/data3020018
出版社：MDPI Publishing
摘要：Planning based on reliable information about the Earth’s surface is an important approach to minimize economic expenses conditioned by natural factors. Data collected by Earth remote sensing (ERS), as well as the analysis of such data using automated classification methods, are becoming more and more important for research and practice activities related to assessing the spatio-temporal structure and sustainability of the Earth’s surface. The analysis of the authenticity of the surrounding areas enables a more objective classification of land plots on the basis of spatial patterns. Combined use of various environmental descriptors enables high-quality handling of neighborhood properties, as each descriptor provides its own specific information about a geospatial system. Experiments have shown that the diagnostics of the emergent properties of such internal structure by analyzing the diversity of dynamic characteristics allows reducing exposure to noise, obtaining a generalized result, and improving the classification accuracy.
关键词：Earth remote sensing; automated classification; neighborhood descriptors; Fisher Vector; invariant and dynamic properties Earth remote sensing ; automated classification ; neighborhood descriptors ; Fisher Vector ; invariant and dynamic properties