Table of Contents
ISPRS Int. J. Geo-Inf., Volume 6, Issue 10 (October 2017)
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Cover Story Information on the motion behavior of environmental phenomena is important in a number of [...] Read more. Information on the motion behavior of environmental phenomena is important in a number of applications, e.g. in precipitation now-casting or the analysis of ocean dynamics. Often, motion information is derived from images, such as weather radar, or infrared satellite images of the sea surface temperature. However, it is not always possible to detect the phenomena by remote sensing techniques and to generate such images. The research that is described in the publication "Field Motion Estimation with a Geosensor Network" is concerned with development of an algorithm for the decentralized estimation of the motion of dynamic spatio-temporal fields by the nodes of a geosensor network. A reliable and well-known optical flow algorithm is used as the basis and adjusted to the specifics of GSNs and spatio-temporal fields, such as the irregularity of samples and the strong constraints on communication and computation capacities. View the paper