Improving the Efficiency of the ERS Data Analysis Techniques by Taking into Account the Neighborhood Descriptors

Stanislav Yamashkin, Milan Radovanović, Anatoliy Yamashkin and Darko Vuković
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Stanislav Yamashkin: Institute of Electronics and Lighting Engineering, National Research Mordovia State University, Saransk 430005, Russia
Milan Radovanović: Geographical Institute Jovan Cvijic, Serbian Academy of Sciences and Arts, 11000 Belgrade, Serbia
Anatoliy Yamashkin: Geography Faculty, National Research Mordovia State University, Saransk 430005, Russia
Darko Vuković: Geographical Institute Jovan Cvijic, Serbian Academy of Sciences and Arts, 11000 Belgrade, Serbia

Data, 2018, vol. 3, issue 2, 1-16

Abstract: 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.

Keywords: Earth remote sensing; automated classification; neighborhood descriptors; Fisher Vector; invariant and dynamic properties (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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