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Browsing by Author Salmon, BP

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Issue DateTitleAuthor(s)
Apr-2013Implementation and testing of WELD and automatic spectral rule-based classifications for Landsat ETM+ in South AfricaWessels, KJ; Salmon, BP; Van den Bergh, F; Steenkamp, K; Kleynhans, W; Swanepoel, D; Kleyn, L; Roy, DP; Kovalskyy, V
Jul-2009Improving NDVI time series class separation using an extended Kalman filterKleynhans, W; Olivier, JC; Salmon, BP; Wessels, KJ; Van den Bergh, F
Jul-2011Meta-optimization of the extended kalman filter's parameters for improved feature extraction on hyper-temporal imagesSalmon, BP; Kleynhans, W; Van den Bergh, F; Olivier, JC; Marais, WJ; Wessels, KJ
Jul-2009Quest for automated land cover change detection using satellite time series dataSalmon, BP; Olivier, JC; Kleynhans, W; Wessels, KJ; Van den Bergh, F
Jul-2012A search algorithm to meta-optimize the parameters for an extended Kalman filter to improve classification on hyper-temporal imagesSalmon, BP; Kleynhans, W; Van den Bergh, F; Olivier, JC; Marais, WJ; Grobler, TL; Wessels, KJ
Jul-2013Ship detection in South African oceans using a combination of SAR and historic LRIT dataKleynhans, W; Salmon, BP; Schwegmann, CP; Seotlo, MV
2010Spatio-temporal approach to detecting land cover change using an extended kalman filter on modis time series dataKleynhans, W; Olivier, JC; Salmon, BP; Wessels, KJ; Van den Bergh, F
Jul-2013A spatio-temporal autocorrelation change detection approach using hyper-temporal satellite dataKleynhans, W; Salmon, BP; Wessels, KJ; Olivier, JC
Jun-2011Unsupervised land cover change detection: meaningful sequential time series analysisSalmon, BP; Olivier, JC; Wessels, KJ; Kleynhans, W; Van den Bergh, F; Steenkamp, KC
Dec-2011The use of a multilayer perceptron for detecting new human settlements from a time series of MODIS imagesSalmon, BP; Olivier, JC; Kleynhans, W; Wessels, KJ; Van den Bergh, F; Steenkamp, KC
Jan-2012Wu’s algorithm and its possible application in cryptanalysisGrobler, TL; Van Zyl, AJ; Olivier, JC; Kleynhans, W; Salmon, BP; Penzhorn, WT
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