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Showing 10 out of a total of 41 results.
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Using random matrix theory to determine the number of endmembers in a hyperspectral image
Cawse, K
;
Sears, M
;
Robin, A
;
Damelin, SB
;
Wessels, Konrad J
;
Van den Bergh, F
;
Mathieu, Renaud SA
(
2010-06
)
Amplitude damping of vortex modes
Dudley, Angela L
;
Nock, M
;
Konrad, T
;
Roux, F
;
Forbes, A
(
South African Institute of Physics
,
2010-09
)
Improving NDVI time series class separation using an extended Kalman filter
Kleynhans, W
;
Olivier, JC
;
Salmon, BP
;
Wessels, Konrad J
;
Van den Bergh, F
(
IEEE
,
2009-07
)
Satellite derived phenology of southern Africa for 1985-2000 and functional classification of vegetation based on phenometrics
Steenkamp, Karen C
;
Wessels, Konrad J
;
Archibald, S
;
Von Maltitz, Graham P
(
2009-05
)
Can linear trend analyses of NDVI time series data truly detect land degradation? Simulations may provide the answer
Wessels, Konrad J
;
Van den Bergh, F
;
Scholes, RJ
;
Miteffa, S
(
2011-04
)
Influence of composite period and date of observation on phenological metrics extracted from MODIS data
Wessels, Konrad J
;
Bachoo, AK
;
Archibald, S
(
2009-05
)
Parameter dependence of the decoherence of orbital angular momentum entanglement in atmospheric turbulence
Hamadou Ibrahim, A
;
Roux, FS
;
Konrad, T
(
SPIE
,
2011-08
)
Validation of a numerical simulation to study the decoherence of quantum OAM entanglement due to atmospheric turbulence
Hamadou Ibrahim, A
;
Roux, FS
;
Konrad, T
(
2011-07
)
Optimizing tree-species classification in hyperspectal images
Barnard, E
;
Cho, Moses A
;
Debba, Pravesh
;
Mathieu, Renaud SA
;
Wessels, Konrad J
;
van Heerden, C
;
Van der Walt, Christiaan M
;
Asner, GP
(
PRASA 2010
,
2010-11
)
An autocorrelation analysis approach to detecting land cover change using hyper-temporal time-series data
Kleynhans, W
;
Salmon, BP
;
Olivier, JC
;
Wessels, Konrad J
;
Van den Bergh, F
(
2011-07
)
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