Efficient Interpolation of Large Image Sequences
نویسندگان
چکیده
Abstract – Dynamic estimation of large-scale remote-sensing image sequences is important in a variety of scientific applications. However, the growing size of such sensed images makes conventional dynamic estimation methods, for example the Kalman and related filters, impractical. In this paper we present an approach that emulates the Kalman filter, but with considerably reduced computational and storage requirements. Our approach is illustrated in the context of a large (512×512) image sequence of ocean surface temperature.
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تاریخ انتشار 2001