This paper presents two new schemes for interpolating missing samples in satellite diurnal temperature cycles (DTCs). The first scheme, referred to here as the cosine model, is an improvement of the model proposed in [2] and combines a cosine and exponential function for modelling the DTC. The second scheme uses the notion of a Reproducing Kernel Hilbert Space (RKHS) interpolator [1] for interpolating the missing samples. The application of RKHS interpolators to the DTC interpolation problem is novel. Results obtained by means of computer experiments are presented.
Reference:
Van den Bergh, F, Van Wyk, MA and Van Wyk, BJ. 2006. Comparison of data-driven and model-driven approaches to brightness temperature diurnal cycle interpolation. 17th Annual Symposium of the Pattern Recognition Association of South Africa, Parys, South Africa, 29 Nov - 1 Dec 2006
Van den Bergh, F., Van Wyk, M., & Van Wyk, B. (2006). Comparison of data-driven and model-driven approaches to brightness temperature diurnal cycle interpolation. http://hdl.handle.net/10204/991
Van den Bergh, F, MA Van Wyk, and BJ Van Wyk. "Comparison of data-driven and model-driven approaches to brightness temperature diurnal cycle interpolation." (2006): http://hdl.handle.net/10204/991
Van den Bergh F, Van Wyk M, Van Wyk B, Comparison of data-driven and model-driven approaches to brightness temperature diurnal cycle interpolation; 2006. http://hdl.handle.net/10204/991 .
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