Abstract
Intelligent geographic information systems (IGIS) are currently very popular with end-users who need to obtain complex information about spatial technical or natural objects. The number of data sources and volume of data are constantly increasing necessitating the use of new technologies for data processing in IGIS. A significant amount of processed data are time series with measurements of various object parameters for both technical and environmental objects. Measurements of time series are usually complicated and not stationary; they contain noise, outliers, and gaps, so a wide range of methods are used for their processing. We propose a method for building adaptive processes for dynamic measurement analysis based on preliminary estimated data using a set of exploration analysis algorithms. The method aims to provide automated operative processing and analyses of heterogeneous data acquired from different sources.
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Pankin, A., Vitol, A., Zhukova, N. (2014). Adaptive Multidimensional Measurement Processing Using Intelligent GIS Technologies. In: Popovich, V., Claramunt, C., Schrenk, M., Korolenko, K. (eds) Information Fusion and Geographic Information Systems (IF AND GIS 2013). Lecture Notes in Geoinformation and Cartography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31833-7_12
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DOI: https://doi.org/10.1007/978-3-642-31833-7_12
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