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Comparison of data-driven and model-driven approaches to brightness temperature diurnal cycle interpolation

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dc.contributor.author Van den Bergh, F
dc.contributor.author Van Wyk, MA
dc.contributor.author Van Wyk, BJ
dc.date.accessioned 2007-07-05T10:37:21Z
dc.date.available 2007-07-05T10:37:21Z
dc.date.issued 2006
dc.identifier.citation 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 en
dc.identifier.uri http://hdl.handle.net/10204/991
dc.description.abstract 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. en
dc.language.iso en en
dc.subject Diurnal temperature cycles en
dc.subject DTC en
dc.subject Land surface temperature en
dc.subject LST en
dc.subject Meteosat second generation en
dc.subject MSG en
dc.subject Reproducing kernel hilbert space en
dc.title Comparison of data-driven and model-driven approaches to brightness temperature diurnal cycle interpolation en
dc.type Conference Presentation en
dc.identifier.apacitation 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 en_ZA
dc.identifier.chicagocitation 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 en_ZA
dc.identifier.vancouvercitation 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 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Van den Bergh, F AU - Van Wyk, MA AU - Van Wyk, BJ AB - 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. DA - 2006 DB - ResearchSpace DP - CSIR KW - Diurnal temperature cycles KW - DTC KW - Land surface temperature KW - LST KW - Meteosat second generation KW - MSG KW - Reproducing kernel hilbert space LK - https://researchspace.csir.co.za PY - 2006 T1 - Comparison of data-driven and model-driven approaches to brightness temperature diurnal cycle interpolation TI - Comparison of data-driven and model-driven approaches to brightness temperature diurnal cycle interpolation UR - http://hdl.handle.net/10204/991 ER - en_ZA


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